Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. Precision Health Feb. 2022 Webinar (February 10, 2022 12:30pm) https://events.umich.edu/event/90513 90513-21671209@events.umich.edu Event Begins: Thursday, February 10, 2022 12:30pm
Location: Off Campus Location
Organized By: Precision Health

Join us for a unique look into data and resources that can accelerate health research and improve clinical care, and concrete examples of how data has provided unprecedented insight into treatment and predicting outcomes. Erin Kaleba, MPH, Director of the Data Office for Clinical and Translational Research, will review the landscape of rich resources available to U-M clinicians and researchers and recent enhancements that greatly simplify access. Brahmajee Nallamothu, MD, MPH, Professor of Internal Medicine - Cardiovascular Diseases and Co-Director of Precision Health, will share real-life case studies of how these resources have improved clinical care and will continue to benefit patients.

This webinar is the fifth in the Precision Health educational series: "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care."

*Please use @umich.edu (NOT @med.umich.edu) email to register.*

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Workshop / Seminar Wed, 05 Jan 2022 16:12:27 -0500 2022-02-10T12:30:00-05:00 2022-02-10T13:30:00-05:00 Off Campus Location Precision Health Workshop / Seminar How clinicians can benefit from precision health tools
Ipek Bilgen and Amelia Burke-Garcia - The Use of Advanced Social Media Targeting Methodology During Recruitment of Hard-to-Reach Audiences (March 9, 2022 12:00pm) https://events.umich.edu/event/91859 91859-21683564@events.umich.edu Event Begins: Wednesday, March 9, 2022 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

The Use of Advanced Social Media Targeting Methodology During Recruitment of Hard-to-Reach Audiences
Ipek Bilgen and Amelia Burke-Garcia

One of the major benefits of social media ad-based survey recruitment is the use of various types of data to target ads to users of these platforms. To target users of social media, researchers can use the basic demographic and geographic that social media platforms currently provide, or they can use enhanced data that can be embedded within the social media platforms supplied by third party providers based on external data sources, e.g., historical purchase data. We will examine whether and how much this enhanced data can impact ad based social media recruitment capabilities to reach niche and hard-to-reach audiences.

To investigate the targeting efficiency, quality, and cost differences among these two approaches that can be used to target audiences within social media platforms, NORC piloted a strategic initiative research study in 2020. A web survey was constructed using existing items from national surveys on individual’s health and online habits, as well as new items related to life changes during the pandemic. Two main audience groups that are generally hard to recruit through probability-based studies were targeted – young adults, ages 18-24, and people with low education (defined as anyone who has completed high school as the highest level of education or lower). Five sets of tailored ads with unique URLs that linked to a web-based survey were designed and launched via Facebook and Instagram. Two sets used basic targeting to recruit the sample and the other three used the enhanced targeting. This brown bag will present the design of the study, our approach to the ads and targeting, and what we learned through our examination of the differences between the samples obtained from basic and advanced targeting on the dimensions of recruited sample composition, survey estimates, and recruitment costs.

Dr. Ipek Bilgen is a Senior Research Methodologist in the Methodology and Quantitative Social Sciences (MQSS) Department at NORC at the University of Chicago. Bilgen is AmeriSpeak Panel’s lead research methodologist. She also directs web and emerging technologies strategic initiative at NORC. She has over a decade of experience in applied survey methods and received both her Ph.D. and M.S. from the Survey Research and Methodology (SRAM) Program at the University of Nebraska-Lincoln.

Bilgen has published and co-authored articles in Journal of Official Statistics, Public Opinion Quarterly, Survey Practice, Social Currents, Social Science Computer Review, Field Methods, SAGE Research Methods, and Quality and Quantity on issues related to interviewing methodology, web surveys, internet sampling and recruitment approaches, cognition and communication, and measurement error in surveys. Her current research investigates panel recruitment and retention, total survey error sources in probability-based online panels, the use of web and emerging technologies in surveys, and questionnaire design and survey implementation issues. Her research also examines studies related to the use of auxiliary data for improved efficiency in surveys that use address-based sampling (ABS) and active survey recruitment through social media and search engines.

Bilgen is currently serving as Associate Editor of Public Opinion Quarterly (POQ). In the past, she has served as an elected member of American Association for Public Opinion Research (AAPOR)’s Executive Council as Membership and Chapter Relations Chair. She has also served on Midwest Association for Public Opinion Research (MAPOR)’s Executive Council as President, Vice President, Conference Chair, and Secretary Treasurer.

Dr. Amelia Burke-Garcia is a seasoned health communications professional with nearly 20 years of experience in health communication program planning, implementation and evaluation, with specific expertise in developing and evaluating digital and social media communication and research. At NORC, she leads the organization's Digital Strategy and Outreach Program Area, where she designs, develops, and implements new digital and mobile data collection methodologies and communication solutions. Most recently, she acted as director for the award-winning How Right Now/Que Hacer Ahora campaign, which is aimed at increasing people’s ability to cope and be resilient amidst the COVID-19 pandemic. She currently leads two grants focused on exploring vaccine hesitancy amongst communities of color which build on her earlier work exploring messages and motivations of vaccine hesitant or refusing social media influencers (findings from which were published in Vaccine in 2020). Over the course of her career, Dr. Burke-Garcia has spearheaded some of the most innovative communication programs and studies on a variety of health topics including designing a targeted social media intervention with mommy bloggers to help social media users lower their risk for breast cancer and leveraging MeetUp groups and the Waze mobile application to move people to action around flu vaccination and HIV testing, respectively. She is the author of the book entitled, Influencing Health: A Comprehensive Guide to Working with Online Influencers and has been named to VeryWellHealth.com’s list of 10 Modern Female Innovators Shaking Up Health Care. She holds a PhD in Communication from George Mason University, a Master’s degree in Communication, Culture, and Technology from Georgetown University, and a joint honours Bachelor’s degree in International Development Studies and Humanistic Studies from McGill University.

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Lecture / Discussion Mon, 07 Feb 2022 12:19:11 -0500 2022-03-09T12:00:00-05:00 2022-03-09T13:00:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion The Use of Advanced Social Media Targeting Methodology During Recruitment of Hard-to-Reach Audiences
How Invalid and Mischievous Survey Responses Bias Estimates of LGBQ-heterosexual Youth Risk Disparities (March 16, 2022 12:00pm) https://events.umich.edu/event/92659 92659-21694330@events.umich.edu Event Begins: Wednesday, March 16, 2022 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

ISR Inclusive Research Matters
How Invalid and Mischievous Survey Responses Bias Estimates of LGBQ-heterosexual Youth Risk Disparities
March 16, 2022, noon ET via Zoom

Speaker: Joseph Cimpian, Associate Professor of Economics and Education Policy at NYU Steinhardt

Abstract: Survey respondents don’t always take surveys as seriously as researchers would like. Sometimes, they provide intentionally untrue, extreme responses. Other times, they skip items or fill in random patterns. We might be tempted to think this just introduces some random error into the estimates, but these responses can have undue effects on estimates of the wellbeing and risk of minoritized populations, such as racially and sexually minoritized youth. Over the past decade, and with a focus on youth who identify as lesbian, gay, bisexual, or questioning (LGBQ), a variety of data-validity screening techniques have been employed in attempts to scrub datasets of “mischievous responders,” youths who systematically provide extreme and untrue responses to outcome items and who tend to falsely report being LGBQ. In this talk, I discuss how mischievous responders—and invalid responses, more generally—can perpetuate narratives of heightened risk, rather than those of greater resilience in the face of obstacles, for LGBQ youth. The talk will review several recent and ongoing studies using pre-registration and replication to test how invalid data affect LGBQ-heterosexual disparities on a wide range of outcomes. Key findings include: (1) potentially invalid responders inflate some (but not all) LGBQ–heterosexual disparities; (2) this is true more among boys than girls; (3) low-incidence outcomes (e.g., heroin use) are particularly susceptible to bias; and (4) the method for detection and mitigation affects the estimates. Yet, these methods do not solve all data validity concerns, and their limitations are discussed. While the empirical focus of this talk is on LGBQ youth, the issues and methods discussed are relevant to research on other minoritized groups and youth generally, and speak to survey development, methodology, and the robustness and transparency of research.

Biography: Joseph Cimpian, Ph.D., is an Associate Professor of Economics and Education Policy at NYU Steinhardt and associated faculty at NYU Wagner. He earned a Ph.D. in Economics of Education from Stanford University. His research focuses on the use and development of novel and rigorous methods to study equity and policy, particularly concerning language minorities, gender, and sexual minorities. One line of his research examines how “mischievous responders”—youth who provide extreme and untrue responses—can bias estimates of majority-minority group disparities. Some of his other work examines how beliefs about gender and math ability contribute to gender gaps in STEM. Prior to joining the faculty at NYU, Cimpian was an Associate Professor and College of Education Distinguished Scholar at the University of Illinois at Urbana-Champaign. His work has been funded by the Spencer Foundation, the AERA Grants Board, the National Science Foundation, and the Institute of Education Sciences. His research has been published in some of the top journals in education, psychology, health, and policy, and has been featured by the New York Times, the Washington Post, NPR, and Brookings, among other outlets. He presented his work on English learner reclassification policies at a U.S. Congressional briefing and for the Council of Chief State School Officers. At NYU, he teaches intermediate and advanced graduate courses on causal inference. He is currently an Editor of Educational Evaluation and Policy Analysis, and is on the editorial boards of several other education and psychology journals.

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Lecture / Discussion Wed, 02 Mar 2022 11:57:41 -0500 2022-03-16T12:00:00-04:00 2022-03-16T13:10:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion flyer
PODS Grant Showcase (March 23, 2022 12:00pm) https://events.umich.edu/event/92610 92610-21693587@events.umich.edu Event Begins: Wednesday, March 23, 2022 12:00pm
Location: Weiser Hall
Organized By: Michigan Institute for Data Science

The PODS Grant Showcase will bring together all of the 2021 awarded teams to present on their proposals and the work accomplished so far in the projects. Lightning talks will be given by most teams with deeper dives on certain projects.

Please RSVP if you plan to attend.

Click here for more information about the 2021 PODS Awardees.

Schedule:
- 12:00pm - Light Lunch
- 12:30pm - Introduction, Opening remarks
- 12:36pm - IPODS: Innovative and Powerful Optimization methods for Data science with Statistical guarantees, Albert Berahas (Industrial & Operations Engineering)
- 12:42pm - Supporting decision-making for a vital waterway in the Great lakes by machine learning model-based lake ice forecasting, Ayumi Fujisaki-Manome (CIGLR in SEAS, CLASP)
- 12:48pm - Robust machine learning under distribution shifts and shocks: Application to sustainable air quality, Paramveer Dhillon (School of Information)
- 12:54pm - Data science approach towards a socio-ecological framework for the investigation of continental urban stream water quality pattern, Runzi Wang (School for Environment and Sustainability)
- 1:00pm - Using Geospatial Data Science to Identify Vulnerable Communities to Climate Change, Joshua Newell (School for Environment and Sustainability)
- 1:17pm - Break
- 1:27pm - Ensuring FAIRness in Social Media Archives, Libby Hemphill (School of Information, ICPSR)
- 1:33pm - Images to Integrated Data: Piloting new methods to digitize, parse, and link historical records, Joseph Alexander (ICPSR, Population Studies Center)
- 1:39pm - Measuring Racial Disparity in the Language of Physician-Patient Interactions, David Jurgens (School of Information, Computer Science and Engineering)
- 1:56pm - Classifying the Content of Undergraduate Course-taking at Scale, Kevin Stange (Ford School of Public Policy)
- 2:02pm - Exploring attention-based deep learning methods for improving students’ ability to engage with scientific literature, Kevyn Collins-Thompson (School of Information, Electrical Engineering and Computer Science)
- 2:19pm - Break
- 2:29pm - Coordinated Multi-building Modeling and Management for Flexible Grid Service Innovation, Eunshin Byon (Industrial and Operations Engineering, Civil and Environmental Engineering)
- 2:35pm - Interpretable Machine Learning for Identifying Descriptors of Catalysts for Chemical Conversion, Bryan Goldsmith (Chemical Engineering)
- 2:41pm - Equitable Models for Persistent Opioid Use Prediction and Personalization, Rahul Ladhania (Health Management & Policy, Biostatistics)
- 2:47pm - Machine learning augmented system for continuous fetal monitoring, Kathleen Sienko (Mechanical Engineering)
- 2:53pm - Scientifically-Structured Latent Variable Methods for High-Dimensional Data to Individualize Healthcare, Zhenke Wu (Biostatistics, School of Public Health)
- 3:00pm - End

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Workshop / Seminar Sun, 20 Feb 2022 22:15:17 -0500 2022-03-23T12:00:00-04:00 2022-03-23T15:00:00-04:00 Weiser Hall Michigan Institute for Data Science Workshop / Seminar MIDAS Events
PDHP Workshop: Tools For Reproducible Research (March 28, 2022 9:00am) https://events.umich.edu/event/93103 93103-21700723@events.umich.edu Event Begins: Monday, March 28, 2022 9:00am
Location: Off Campus Location
Organized By: Institute for Social Research

Despite the recent increase in the amount and complexity of data available, the social sciences are nonetheless facing a reproducibility crisis as previous findings fail to replicate. Both of these trends highlight the need for improving reproducibility and collaboration in the social sciences, an increasingly important topic that is rarely covered in traditional academic training.

Please join as we conduct a new PDHP workshop titled “Tools For Reproducible Research,” presented by Alexandru Cernat (associate professor of social statistics, University of Manchester). This half-day workshop will cover the main concepts of reproducible research as well as best practices in the field (including meta-analyses, pre-registration, and sensitivity analysis), while mixing both lecture and practical application. Attendees will also get hands-on practice with state-of-the-art tools of reproducible research, such as research project management using R/RStudio and version control using Github.

Topics covered:
-Challenges to social research such as publication bias and specification bias
-Solutions to the reproducibility crisis: meta-analyses, pre-registration, and sensitivity analysis
-Tools for better research workflows: project management (via Rprojects and the renv package), version control via Github, and dynamic documents (via git, usethis and Rmarkdown)

As always, this workshop is free of cost and open to the public. Please RSVP for this event: https://pdhp.isr.umich.edu/workshops/

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Workshop / Seminar Tue, 08 Mar 2022 08:56:56 -0500 2022-03-28T09:00:00-04:00 2022-03-28T13:00:00-04:00 Off Campus Location Institute for Social Research Workshop / Seminar flyer
Responsible Data Science and AI mini-symposium (April 6, 2022 1:15pm) https://events.umich.edu/event/93987 93987-21713513@events.umich.edu Event Begins: Wednesday, April 6, 2022 1:15pm
Location: Palmer Commons
Organized By: Michigan Institute for Data Science

Data science and AI are having a significant impact on society in uncountable ways, leading to huge benefits in many cases. Yet, increasingly complex analytical pipelines working with poorly understood heterogeneous data sets can give rise to harms in many ways. Furthermore, there could be deleterious systemic effects such as the magnification of disinformation or surveillance capitalism. There has been tremendous recent interest in understanding and managing these concerns.
The Mini-Symposium is a part of the Future Leaders Summit two day event and is open to the public. Below is the event schedule:
1:15 PM - Opening Remarks, Jing Liu (Managing Director, MIDAS, University of Michigan)
1:20 PM - Why Data Scientists Should Care About Data Equity, H.V. Jagadish (Director, MIDAS, University of Michigan)
2:00 PM - Responsible data science is equitable, informed, and secure, David Mongeau (University of Texas San Antonio)
2:40 PM – GeoAI and Spatial Data Science: with Great Power comes Great Responsibility, Shashi Shekhar (University of Minnesota)
3:20 PM - Break
3:40 PM – When Algorithms Trade: Modeling AI in Financial Markets, Michael Wellman (University of Michigan)
4:20 PM – Who Decides What Counts? AI and Big Data: Applications in Economic and Social Science Research, Frauke Kreuter (University of Maryland)
5:00 PM – Panel: Research directions and future breakthroughs, All speakers

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Conference / Symposium Fri, 25 Mar 2022 14:37:52 -0400 2022-04-06T13:15:00-04:00 2022-04-06T17:30:00-04:00 Palmer Commons Michigan Institute for Data Science Conference / Symposium Responsible Data Science and AI Mini Symposium Flyer
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (May 19, 2022 3:00pm) https://events.umich.edu/event/95202 95202-21788865@events.umich.edu Event Begins: Thursday, May 19, 2022 3:00pm
Location:
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-05-19T15:00:00-04:00 2022-05-19T16:00:00-04:00 Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (May 19, 2022 5:00pm) https://events.umich.edu/event/95207 95207-21788994@events.umich.edu Event Begins: Thursday, May 19, 2022 5:00pm
Location:
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-05-19T17:00:00-04:00 2022-05-19T18:00:00-04:00 Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 6, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788811@events.umich.edu Event Begins: Monday, June 6, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-06T10:00:00-04:00 2022-06-06T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 7, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788918@events.umich.edu Event Begins: Tuesday, June 7, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-07T10:00:00-04:00 2022-06-07T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 8, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788813@events.umich.edu Event Begins: Wednesday, June 8, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-08T10:00:00-04:00 2022-06-08T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 9, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788920@events.umich.edu Event Begins: Thursday, June 9, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-09T10:00:00-04:00 2022-06-09T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 10, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788815@events.umich.edu Event Begins: Friday, June 10, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-10T10:00:00-04:00 2022-06-10T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Introduction to Focus Group Interviewing Research Methods - Summer Institute in Survey Research Techniques (June 13, 2022 9:00am) https://events.umich.edu/event/95204 95204-21788973@events.umich.edu Event Begins: Monday, June 13, 2022 9:00am
Location:
Organized By: Summer Institute in Survey Research Techniques

Introduction to Focus Group Interviewing Research Methods

Course open for registration!

June 13-14, 2022
9:00am-4:00pm EST
M/T

This course introduces the skills needed to conduct focus group interviews. Students will learn about the critical components of successful focus group research. They will develop a plan for a focus group study and then practice key skills. Attention will be placed on recent developments in conducting virtual focus groups via Zoom. This course will be particularly applicable for those conducting focus group research in academic, non-profit, and government settings.

The course will cover these skills:
- Conducting in-person and virtual focus groups
- How to plan and design a focus group study
- Identifying information-rich participants and getting them to show up
- Beginning the focus group – the crucial first few minutes and moderating techniques
- Developing questions—Characteristics of good focus group questions
- Analyzing—Options for analysis

Why Take This Course?
Focus groups are used to understand issues, pilot test ideas, and evaluate programs. They also provide great insight when used in combination with surveys. Focus groups have been used to help design surveys, to pilot test surveys, and to understand survey findings. Take this course if you want to learn more about how focus groups might add to your research toolbox.

Course Hour: 1

Instructor: Richard Krueger

Prerequisite: An introductory course in research methods or equivalent experience.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:37 -0400 2022-06-13T09:00:00-04:00 2022-06-13T16:00:00-04:00 Summer Institute in Survey Research Techniques Class / Instruction Introduction to Focus Group Interviewing Research Methods
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 13, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788975@events.umich.edu Event Begins: Monday, June 13, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-13T09:00:00-04:00 2022-06-13T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 13, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788818@events.umich.edu Event Begins: Monday, June 13, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-13T10:00:00-04:00 2022-06-13T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Introduction to Focus Group Interviewing Research Methods - Summer Institute in Survey Research Techniques (June 14, 2022 9:00am) https://events.umich.edu/event/95204 95204-21788974@events.umich.edu Event Begins: Tuesday, June 14, 2022 9:00am
Location:
Organized By: Summer Institute in Survey Research Techniques

Introduction to Focus Group Interviewing Research Methods

Course open for registration!

June 13-14, 2022
9:00am-4:00pm EST
M/T

This course introduces the skills needed to conduct focus group interviews. Students will learn about the critical components of successful focus group research. They will develop a plan for a focus group study and then practice key skills. Attention will be placed on recent developments in conducting virtual focus groups via Zoom. This course will be particularly applicable for those conducting focus group research in academic, non-profit, and government settings.

The course will cover these skills:
- Conducting in-person and virtual focus groups
- How to plan and design a focus group study
- Identifying information-rich participants and getting them to show up
- Beginning the focus group – the crucial first few minutes and moderating techniques
- Developing questions—Characteristics of good focus group questions
- Analyzing—Options for analysis

Why Take This Course?
Focus groups are used to understand issues, pilot test ideas, and evaluate programs. They also provide great insight when used in combination with surveys. Focus groups have been used to help design surveys, to pilot test surveys, and to understand survey findings. Take this course if you want to learn more about how focus groups might add to your research toolbox.

Course Hour: 1

Instructor: Richard Krueger

Prerequisite: An introductory course in research methods or equivalent experience.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:37 -0400 2022-06-14T09:00:00-04:00 2022-06-14T16:00:00-04:00 Summer Institute in Survey Research Techniques Class / Instruction Introduction to Focus Group Interviewing Research Methods
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 14, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788976@events.umich.edu Event Begins: Tuesday, June 14, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-14T09:00:00-04:00 2022-06-14T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 14, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788925@events.umich.edu Event Begins: Tuesday, June 14, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-14T10:00:00-04:00 2022-06-14T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 15, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788977@events.umich.edu Event Begins: Wednesday, June 15, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-15T09:00:00-04:00 2022-06-15T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 15, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788820@events.umich.edu Event Begins: Wednesday, June 15, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-15T10:00:00-04:00 2022-06-15T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 16, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788978@events.umich.edu Event Begins: Thursday, June 16, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-16T09:00:00-04:00 2022-06-16T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 16, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788927@events.umich.edu Event Begins: Thursday, June 16, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-16T10:00:00-04:00 2022-06-16T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 17, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788979@events.umich.edu Event Begins: Friday, June 17, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-17T09:00:00-04:00 2022-06-17T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 17, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788822@events.umich.edu Event Begins: Friday, June 17, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-17T10:00:00-04:00 2022-06-17T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Total Data Quality-Part 1 - Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (June 20, 2022 9:00am) https://events.umich.edu/event/95448 95448-21789936@events.umich.edu Event Begins: Monday, June 20, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Total Data Quality-Part 1

Webinar open for registration!

June 20, 2022
9:00am-1:30pm
M

This is the first of two webinars that will introduce participants to a general framework for evaluating and maximizing data quality when working with data from a variety of different study designs. In this first webinar, we will introduce a general framework for evaluating total data quality (TDQ), considering concepts related to sampling, nonresponse, measurement, processing, and data analysis. We will then discuss how to apply this framework to different types of data sources, including designed data (such as surveys) and found / organic data (which arise following some organic process, e.g., consumer transactions), focusing on various metrics for evaluating total data quality.

Not for academic credit workshop.

Instructors: Brady T. West, James Wagner, Trent Buskirk & Jinseok Kim

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 12:01:18 -0400 2022-06-20T09:00:00-04:00 2022-06-20T13:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Writing Questions for Surveys - Summer Institute in Survey Research Techniques (June 20, 2022 9:00am) https://events.umich.edu/event/95206 95206-21788980@events.umich.edu Event Begins: Monday, June 20, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Writing Questions for Surveys

Open for registration!

June 20-22, 2022
9:00am-2:30pm EST
M-W

Course Objectives
- Introduce a structural analysis of parts of a survey question
- Introduce cognitive interviewing as a method for testing survey questions
- Describe guidelines for diagnosing problems in survey questions and writing new survey questions
- Focus on the structure and wording of survey questions, whether for interviewer-administered or self- administered instruments
- Provide an opportunity to apply the guidelines and principles during in-class exercises
- Focus on improving individual questions and sets of questions.
- Summarize research that underlies key decisions in writing survey questions.

Description
This workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal
states).

Who Should Attend
Individuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.

Course Hour: 1

Instructor: Nora Cate Schaeffer

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:19:46 -0400 2022-06-20T09:00:00-04:00 2022-06-20T14:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Writing Questions for Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 20, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788825@events.umich.edu Event Begins: Monday, June 20, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-20T10:00:00-04:00 2022-06-20T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 20, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788983@events.umich.edu Event Begins: Monday, June 20, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-20T13:00:00-04:00 2022-06-20T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Writing Questions for Surveys - Summer Institute in Survey Research Techniques (June 21, 2022 9:00am) https://events.umich.edu/event/95206 95206-21788981@events.umich.edu Event Begins: Tuesday, June 21, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Writing Questions for Surveys

Open for registration!

June 20-22, 2022
9:00am-2:30pm EST
M-W

Course Objectives
- Introduce a structural analysis of parts of a survey question
- Introduce cognitive interviewing as a method for testing survey questions
- Describe guidelines for diagnosing problems in survey questions and writing new survey questions
- Focus on the structure and wording of survey questions, whether for interviewer-administered or self- administered instruments
- Provide an opportunity to apply the guidelines and principles during in-class exercises
- Focus on improving individual questions and sets of questions.
- Summarize research that underlies key decisions in writing survey questions.

Description
This workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal
states).

Who Should Attend
Individuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.

Course Hour: 1

Instructor: Nora Cate Schaeffer

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:19:46 -0400 2022-06-21T09:00:00-04:00 2022-06-21T14:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Writing Questions for Surveys
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 21, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788932@events.umich.edu Event Begins: Tuesday, June 21, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-21T10:00:00-04:00 2022-06-21T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 21, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788984@events.umich.edu Event Begins: Tuesday, June 21, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-21T13:00:00-04:00 2022-06-21T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Total Data Quality-Part 2 - Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (June 22, 2022 9:00am) https://events.umich.edu/event/95449 95449-21789937@events.umich.edu Event Begins: Wednesday, June 22, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Total Data Quality-Part 2

Webinar open for registration!

June 22, 2022
9:00am-1:30pm
W

This is the second of two webinars on the total data quality framework. In this webinar, we will continue our discussion on measuring total data quality. The focus will then turn to tools and techniques for maximizing total data quality (such as responsive and adaptive survey design for designed survey data, weighting approaches, and tools for repairing linkage error). We will present a series of examples considering data from real studies, where the concepts introduced will be applied to vet the total quality of the data sets analyzed. Small-group exercises will be used to give participants hands-on experience with applying some of the concepts discussed to assess data quality.

Not for academic credit workshop.

Instructors: Trent Buskirk, James Wagner, Jinseok Kim & Brady T. West

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 12:00:52 -0400 2022-06-22T09:00:00-04:00 2022-06-22T13:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Writing Questions for Surveys - Summer Institute in Survey Research Techniques (June 22, 2022 9:00am) https://events.umich.edu/event/95206 95206-21788982@events.umich.edu Event Begins: Wednesday, June 22, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Writing Questions for Surveys

Open for registration!

June 20-22, 2022
9:00am-2:30pm EST
M-W

Course Objectives
- Introduce a structural analysis of parts of a survey question
- Introduce cognitive interviewing as a method for testing survey questions
- Describe guidelines for diagnosing problems in survey questions and writing new survey questions
- Focus on the structure and wording of survey questions, whether for interviewer-administered or self- administered instruments
- Provide an opportunity to apply the guidelines and principles during in-class exercises
- Focus on improving individual questions and sets of questions.
- Summarize research that underlies key decisions in writing survey questions.

Description
This workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal
states).

Who Should Attend
Individuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.

Course Hour: 1

Instructor: Nora Cate Schaeffer

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:19:46 -0400 2022-06-22T09:00:00-04:00 2022-06-22T14:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Writing Questions for Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 22, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788827@events.umich.edu Event Begins: Wednesday, June 22, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-22T10:00:00-04:00 2022-06-22T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 22, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788985@events.umich.edu Event Begins: Wednesday, June 22, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-22T13:00:00-04:00 2022-06-22T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 23, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788934@events.umich.edu Event Begins: Thursday, June 23, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-23T10:00:00-04:00 2022-06-23T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 23, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788986@events.umich.edu Event Begins: Thursday, June 23, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-23T13:00:00-04:00 2022-06-23T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Introduction to Survey Methodology - Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (June 24, 2022 9:00am) https://events.umich.edu/event/95450 95450-21789938@events.umich.edu Event Begins: Friday, June 24, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Webinar open for registration!

June 24, 2022
9:00am-1:00pm
F

This four-hour webinar will focus on the survey methodology topics most important for understanding the objectives of responsive survey design and its applications. One set of tools will focus on maximizing participation and minimizing attrition of survey participants. Core survey methodology tools for encouraging participation will be featured. These tools include incentives, tailoring refusal conversion, switching modes, and tracking strategies. A second set of tools will focus on measurement construction. These tools include mode options, questionnaire design issues, and special instruments (such as life history calendars) to minimize reporting error. Each portion of the course will feature examples applying each specific tool to various real studies.

Not for academic credit.

Instructor: Brady T. West

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 12:00:17 -0400 2022-06-24T09:00:00-04:00 2022-06-24T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 24, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788829@events.umich.edu Event Begins: Friday, June 24, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-24T10:00:00-04:00 2022-06-24T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 24, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788987@events.umich.edu Event Begins: Friday, June 24, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-24T13:00:00-04:00 2022-06-24T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Basic Concepts in Responsive Survey Design - Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (June 27, 2022 9:00am) https://events.umich.edu/event/95458 95458-21789945@events.umich.edu Event Begins: Monday, June 27, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Basic Concepts in Responsive Survey Design

Webinar open for registration!

June 27, 2022
9:00am-1:00pm
M

This course will provide participants with an overview of the primary concepts underlying RSD. This will include discussion of the uncertainty in survey design, the role of paradata, or data describing the data collection process, in informing decisions, and potential RSD interventions. These interventions include timing and sequence of modes, techniques for efficiently deploying incentives, and combining two-phase sampling with other design changes. Interventions appropriate for face-to-face, telephone, web, mail and mixed-mode surveys will be discussed. Using the Total Survey Error (TSE) framework, the main concepts behind these designs will be explained with a focus on how these principles are designed to simultaneously control survey errors and survey costs. Examples of RSD in both large and small studies will be provided as motivation. Small group exercises will help participants to think through some of the common questions that need to be answered when employing RSD.

Not for academic credit.

Instructors: Andy Peytchev & James Wagner

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 13:04:52 -0400 2022-06-27T09:00:00-04:00 2022-06-27T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 27, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788832@events.umich.edu Event Begins: Monday, June 27, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-27T10:00:00-04:00 2022-06-27T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 27, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788990@events.umich.edu Event Begins: Monday, June 27, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-27T13:00:00-04:00 2022-06-27T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 28, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788939@events.umich.edu Event Begins: Tuesday, June 28, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-28T10:00:00-04:00 2022-06-28T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 28, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788991@events.umich.edu Event Begins: Tuesday, June 28, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-28T13:00:00-04:00 2022-06-28T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Case Studies in Responsive Design Research: Face to Face and Phone Surveys - Responsive Survey Design (June 29, 2022 9:00am) https://events.umich.edu/event/95459 95459-21789946@events.umich.edu Event Begins: Wednesday, June 29, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Case Studies in Responsive Design Research: Face to Face and Phone Surveys

Webinar open for registration!

June 29, 2022
9:00am-1:00pm
W

This webinar will explore several well-developed examples of RSD. Dr. West will serve as a moderator of the webinar, and also introduce a case study from the National Survey of Family Growth (NSFG). The instructors will then provide independent examples of the implementation of RSD in different international surveys using face-to-face and telephone modes of data collection. All case studies will be supplemented with discussions of issues regarding the development and implementation of RSD. Case studies will include the NSFG, the Relationship Dynamics and Social Life (RDSL) survey, and the Netherlands Survey of Consumer Satisfaction, among others. This variety of case studies will reflect a diversity of survey conditions. The NSFG (West) is a cross-sectional survey that is run on a continuous basis with in-person interviewing. The RDSL (West) is a small-scale panel survey that employed a mixed-mode approach to collecting weekly journal data from a panel of young women. The Netherlands Survey of Consumer Satisfaction (Schouten) is a mixed-mode survey combining web and mail survey data collection with telephone interviewing. The National Longitudinal Study of Adolescent to Adult Health (AddHealth; Murphy) employs adaptive design in a longitudinal framework, using web, mail, telephone, and face-to-face modes of data collection. The focus of the course will be on practical tools for implementing RSD in a variety of conditions, including small-scale surveys.

Not for academic credit.

Instructor: Brady T. West

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 20 Jun 2022 13:15:58 -0400 2022-06-29T09:00:00-04:00 2022-06-29T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Case Studies in Responsive Design Research: Face to Face and Phone Surveys - Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (June 29, 2022 9:00am) https://events.umich.edu/event/95462 95462-21789947@events.umich.edu Event Begins: Wednesday, June 29, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Case Studies in Responsive Design Research: Face to Face and Phone Surveys

Webinar open for registration!

June 29, 2022
9:00am-1:00pm
W

This webinar will explore several well-developed examples of RSD. Dr. West will serve as a moderator of the webinar, and also introduce a case study from the National Survey of Family Growth (NSFG). The instructors will then provide independent examples of the implementation of RSD in different international surveys using face-to-face and telephone modes of data collection. All case studies will be supplemented with discussions of issues regarding the development and implementation of RSD. Case studies will include the NSFG, the Relationship Dynamics and Social Life (RDSL) survey, and the Netherlands Survey of Consumer Satisfaction, among others. This variety of case studies will reflect a diversity of survey conditions. The NSFG (West) is a cross-sectional survey that is run on a continuous basis with in-person interviewing. The RDSL (West) is a small-scale panel survey that employed a mixed-mode approach to collecting weekly journal data from a panel of young women. The Netherlands Survey of Consumer Satisfaction (Schouten) is a mixed-mode survey combining web and mail survey data collection with telephone interviewing. The National Longitudinal Study of Adolescent to Adult Health (AddHealth; Murphy) employs adaptive design in a longitudinal framework, using web, mail, telephone, and face-to-face modes of data collection. The focus of the course will be on practical tools for implementing RSD in a variety of conditions, including small-scale surveys.

Not for academic credit.

Instructor: Brady T. West

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 15:40:50 -0400 2022-06-29T09:00:00-04:00 2022-06-29T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 29, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788834@events.umich.edu Event Begins: Wednesday, June 29, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-29T10:00:00-04:00 2022-06-29T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 29, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788992@events.umich.edu Event Begins: Wednesday, June 29, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-29T13:00:00-04:00 2022-06-29T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Case Studies in Responsive Design Research in Web Surveys - Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (June 30, 2022 9:00am) https://events.umich.edu/event/95463 95463-21789948@events.umich.edu Event Begins: Thursday, June 30, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Case Studies in Responsive Design Research in Web Surveys

Webinar open for registration!

June 30, 2022
9:00am-1:00pm
Th

Web surveys can be an inexpensive method for collecting data. This is especially true for designs that repeat measurement over several time periods. However, these relatively low-cost data collections may result in reduced data quality if the problem of nonresponse is ignored. This webinar will examine methods for using RSD to effectively deploy scarce resources in order to minimize the risk of nonresponse bias.
Recent experiences with the University of Michigan Campus Climate Survey (UM-CCS), the National Survey of College Graduates (NSCG), and the Residential Energy Consumption Survey (RECS) are used to illustrate this point. These surveys are all defined by phased designs and multiple modes of contact. This approach improves survey outcomes, including response rates, representativeness, and cost by using alternative contact methods in later phases to recruit sample members from subgroups that were less likely to respond in earlier phases. These surveys demonstrate the benefit of RSD in web surveys across a variety of different samples sizes, and both small and large budgets and management teams. As a result, lessons from these experiences can be directly applied in many similar settings.

Not for academic credit.

Instructors: Scott Crawford & Stephanie Coffey

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 16:24:56 -0400 2022-06-30T09:00:00-04:00 2022-06-30T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 30, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788941@events.umich.edu Event Begins: Thursday, June 30, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-30T10:00:00-04:00 2022-06-30T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 30, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788993@events.umich.edu Event Begins: Thursday, June 30, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-30T13:00:00-04:00 2022-06-30T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 1, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788836@events.umich.edu Event Begins: Friday, July 1, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-01T10:00:00-04:00 2022-07-01T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 5, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788946@events.umich.edu Event Begins: Tuesday, July 5, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-05T10:00:00-04:00 2022-07-05T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Introduction to Questionnaire Design - Summer Institute in Survey Research Techniques (July 5, 2022 2:00pm) https://events.umich.edu/event/95254 95254-21789069@events.umich.edu Event Begins: Tuesday, July 5, 2022 2:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Questionnaire Design

Open for registration!

July 5-14, 2022
2:00pm - 3:30pm EST
T & Th

This course will begin to empower students with an understanding of the importance and basic tenets of rigorous questionnaire design, as well as practice designing an appropriate instrument for a real world problem. Students will watch course videos independently, and work on a questionnaire for a topic of their choosing. Four live online meetings (Tuesdays and Thursdays from 2-3:30 PM EST) will take a workshop format where students will ask questions, share their own questionnaires in progress, and give feedback to classmates.

Course Hour: 1

Instructor: Jessica Broome

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:23:54 -0400 2022-07-05T14:00:00-04:00 2022-07-05T15:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Questionnaire Design
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 6, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788841@events.umich.edu Event Begins: Wednesday, July 6, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-06T10:00:00-04:00 2022-07-06T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 7, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788948@events.umich.edu Event Begins: Thursday, July 7, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-07T10:00:00-04:00 2022-07-07T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Introduction to Questionnaire Design - Summer Institute in Survey Research Techniques (July 7, 2022 2:00pm) https://events.umich.edu/event/95254 95254-21789071@events.umich.edu Event Begins: Thursday, July 7, 2022 2:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Questionnaire Design

Open for registration!

July 5-14, 2022
2:00pm - 3:30pm EST
T & Th

This course will begin to empower students with an understanding of the importance and basic tenets of rigorous questionnaire design, as well as practice designing an appropriate instrument for a real world problem. Students will watch course videos independently, and work on a questionnaire for a topic of their choosing. Four live online meetings (Tuesdays and Thursdays from 2-3:30 PM EST) will take a workshop format where students will ask questions, share their own questionnaires in progress, and give feedback to classmates.

Course Hour: 1

Instructor: Jessica Broome

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:23:54 -0400 2022-07-07T14:00:00-04:00 2022-07-07T15:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Questionnaire Design
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 8, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788843@events.umich.edu Event Begins: Friday, July 8, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-08T10:00:00-04:00 2022-07-08T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 11, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788846@events.umich.edu Event Begins: Monday, July 11, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-11T10:00:00-04:00 2022-07-11T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 12, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788953@events.umich.edu Event Begins: Tuesday, July 12, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-12T10:00:00-04:00 2022-07-12T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences - Summer Institute in Survey Research Techniques (July 12, 2022 11:00am) https://events.umich.edu/event/95255 95255-21789080@events.umich.edu Event Begins: Tuesday, July 12, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

July 12 - 22, 2022
11:00am – 1:00pm EST
T & F

The recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.

Course Hour: 1

Instructors: Florian Keusch, Heidi Guyer

Prerequisite: You must have your own laptop to participate in this class.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:25:32 -0400 2022-07-12T11:00:00-04:00 2022-07-12T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences
Introduction to Questionnaire Design - Summer Institute in Survey Research Techniques (July 12, 2022 2:00pm) https://events.umich.edu/event/95254 95254-21789076@events.umich.edu Event Begins: Tuesday, July 12, 2022 2:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Questionnaire Design

Open for registration!

July 5-14, 2022
2:00pm - 3:30pm EST
T & Th

This course will begin to empower students with an understanding of the importance and basic tenets of rigorous questionnaire design, as well as practice designing an appropriate instrument for a real world problem. Students will watch course videos independently, and work on a questionnaire for a topic of their choosing. Four live online meetings (Tuesdays and Thursdays from 2-3:30 PM EST) will take a workshop format where students will ask questions, share their own questionnaires in progress, and give feedback to classmates.

Course Hour: 1

Instructor: Jessica Broome

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:23:54 -0400 2022-07-12T14:00:00-04:00 2022-07-12T15:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Questionnaire Design
Interventions in a Responsive Survey Design Framework-Part 1- Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (July 13, 2022 9:00am) https://events.umich.edu/event/95464 95464-21789949@events.umich.edu Event Begins: Wednesday, July 13, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Interventions in a Responsive Survey Design Framework-Part 1

Webinar open for registration!

July 13, 2022
9:00am-1:00pm
W

This first webinar in a two-part series on implementing interventions in a responsive design framework will discuss a variety of potential RSD interventions. Many of these have been implemented experimentally, and the course will include evaluations of those experiments. The importance of experimental evaluations in early phases of RSD will be discussed. Methods for implementing interventions will also be discussed, including implementation of experiments aimed at evaluating new interventions. Strategies for implementing these interventions with both interviewer-mediated and self-administered (e.g., web and mail) surveys will be discussed. Methods for the evaluation of the results of the interventions (experimental and otherwise) will be considered. These evaluations will include measures of both costs and errors.

Not for academic credit.

Instructor: Brady T. West

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 16:24:20 -0400 2022-07-13T09:00:00-04:00 2022-07-13T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 13, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788848@events.umich.edu Event Begins: Wednesday, July 13, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-13T10:00:00-04:00 2022-07-13T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 14, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788955@events.umich.edu Event Begins: Thursday, July 14, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-14T10:00:00-04:00 2022-07-14T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Introduction to Questionnaire Design - Summer Institute in Survey Research Techniques (July 14, 2022 2:00pm) https://events.umich.edu/event/95254 95254-21789078@events.umich.edu Event Begins: Thursday, July 14, 2022 2:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Questionnaire Design

Open for registration!

July 5-14, 2022
2:00pm - 3:30pm EST
T & Th

This course will begin to empower students with an understanding of the importance and basic tenets of rigorous questionnaire design, as well as practice designing an appropriate instrument for a real world problem. Students will watch course videos independently, and work on a questionnaire for a topic of their choosing. Four live online meetings (Tuesdays and Thursdays from 2-3:30 PM EST) will take a workshop format where students will ask questions, share their own questionnaires in progress, and give feedback to classmates.

Course Hour: 1

Instructor: Jessica Broome

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:23:54 -0400 2022-07-14T14:00:00-04:00 2022-07-14T15:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Questionnaire Design
Interventions in a Responsive Survey Design Framework-Part 2- Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (July 15, 2022 9:00am) https://events.umich.edu/event/95466 95466-21789951@events.umich.edu Event Begins: Friday, July 15, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Interventions in a Responsive Survey Design Framework-Part 2

Webinar open for registration!

July 15, 2022
9:00am-1:00pm
F

This second webinar in a two-part series on implementing interventions in a responsive design framework will walk participants through several real-world examples of interventions that have been applied to real surveys. Participants will also be able to work on small-group exercises designed to develop original interventions in different survey contexts.

Not for academic credit.

Instructor: Brady T. West

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 16:23:34 -0400 2022-07-15T09:00:00-04:00 2022-07-15T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 15, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788850@events.umich.edu Event Begins: Friday, July 15, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-15T10:00:00-04:00 2022-07-15T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences - Summer Institute in Survey Research Techniques (July 15, 2022 11:00am) https://events.umich.edu/event/95255 95255-21789083@events.umich.edu Event Begins: Friday, July 15, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

July 12 - 22, 2022
11:00am – 1:00pm EST
T & F

The recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.

Course Hour: 1

Instructors: Florian Keusch, Heidi Guyer

Prerequisite: You must have your own laptop to participate in this class.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:25:32 -0400 2022-07-15T11:00:00-04:00 2022-07-15T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences
Intermediate Questionnaire Design - Summer Institute in Survey Research Techniques (July 18, 2022 8:30am) https://events.umich.edu/event/95256 95256-21789091@events.umich.edu Event Begins: Monday, July 18, 2022 8:30am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Intermediate Questionnaire Design

Open for registration!

July 18-21, 2022
8:30am - 12:00pm EST
M/T/W/Th

Participants should have prior knowledge of question design before attending.

This course is designed to follow on from Introduction to Questionnaire Design. Now instead of looking at question comprehension from a cognitive side, the linguistic side will be explored including online tools. Factual questions will be revisited but with the goal of exploring different types of respondent memory problems and their solutions, while also covering time anomalies in surveys and quasi facts. Subjective questions will be revisited to understand attitude consistency and inconsistency, to look at the feasibility of changing attitudes to change behavioral intentions to change behaviors and to cover the popular topic of satisfaction and other customer experience metrics. Alternatives to questionnaires will also be covered such as event history calendars, internet enabled devices, factorial surveys and multi-item scales. The course concludes with ways to translate survey questions and evaluate the translation. The course will be interactive with the goal of making it as close to in-person training as possible. There also will be workshops throughout. Pamela is happy to chat with participants about their own questionnaires.

Course Hour: 1

Instructor: Pamela Campanelli

Prerequisite: An introductory course in questionnaire design or equivalent experience.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:26:26 -0400 2022-07-18T08:30:00-04:00 2022-07-18T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Intermediate Questionnaire Design
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 18, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788853@events.umich.edu Event Begins: Monday, July 18, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-18T10:00:00-04:00 2022-07-18T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers - Summer Institute in Survey Research Techniques (July 18, 2022 1:00pm) https://events.umich.edu/event/95709 95709-21790759@events.umich.edu Event Begins: Monday, July 18, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers

Course open for registration!

July 18-19, 2022
1:00pm-5:00pm
M/T

This short course will offer a very practical introduction to data gathering geared at social scientists and survey researchers. This course begins with an overview of web scraping discussing some basic technical jargon, types of web data and various methods for scraping. The course also includes a discussion and illustration of Application Programming Interfaces (APIs) use for gathering web data when they are available. Some websites are designed to be easily accessible by web crawlers or scraping algorithms while others require much more advanced, custom programming. And some web data can be accessed using an API that is provided by the website. In this course we will illustrate how participants can discern these differences as well as presenting several motivating examples of the various ways web scraped data can be used throughout a study’s lifecycle from design to calibration to analysis. We provide an extensive introduction to a suite of freeware programs that allow virtually syntax free, but customizable, web scraping capabilities. We contrast this type of gathered data access to APIs for some websites like Zillow or Twitter and discuss pros and cons of using web scraping or APIs to gather this type of web data. The course concludes with specific focus on the import.io tool where we demonstrate its capabilities and provide several, hands-on practical examples for participants to begin scraping several websites of increasing complexity. We will also illustrate API calls in R for Zillow, the Census and others as time permits.

Not for academic credit.

Instructor: Trent Buskirk

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Mon, 20 Jun 2022 13:50:13 -0400 2022-07-18T13:00:00-04:00 2022-07-18T17:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers
Intermediate Questionnaire Design - Summer Institute in Survey Research Techniques (July 19, 2022 8:30am) https://events.umich.edu/event/95256 95256-21789092@events.umich.edu Event Begins: Tuesday, July 19, 2022 8:30am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Intermediate Questionnaire Design

Open for registration!

July 18-21, 2022
8:30am - 12:00pm EST
M/T/W/Th

Participants should have prior knowledge of question design before attending.

This course is designed to follow on from Introduction to Questionnaire Design. Now instead of looking at question comprehension from a cognitive side, the linguistic side will be explored including online tools. Factual questions will be revisited but with the goal of exploring different types of respondent memory problems and their solutions, while also covering time anomalies in surveys and quasi facts. Subjective questions will be revisited to understand attitude consistency and inconsistency, to look at the feasibility of changing attitudes to change behavioral intentions to change behaviors and to cover the popular topic of satisfaction and other customer experience metrics. Alternatives to questionnaires will also be covered such as event history calendars, internet enabled devices, factorial surveys and multi-item scales. The course concludes with ways to translate survey questions and evaluate the translation. The course will be interactive with the goal of making it as close to in-person training as possible. There also will be workshops throughout. Pamela is happy to chat with participants about their own questionnaires.

Course Hour: 1

Instructor: Pamela Campanelli

Prerequisite: An introductory course in questionnaire design or equivalent experience.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:26:26 -0400 2022-07-19T08:30:00-04:00 2022-07-19T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Intermediate Questionnaire Design
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 19, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788960@events.umich.edu Event Begins: Tuesday, July 19, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-19T10:00:00-04:00 2022-07-19T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences - Summer Institute in Survey Research Techniques (July 19, 2022 11:00am) https://events.umich.edu/event/95255 95255-21789087@events.umich.edu Event Begins: Tuesday, July 19, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

July 12 - 22, 2022
11:00am – 1:00pm EST
T & F

The recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.

Course Hour: 1

Instructors: Florian Keusch, Heidi Guyer

Prerequisite: You must have your own laptop to participate in this class.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:25:32 -0400 2022-07-19T11:00:00-04:00 2022-07-19T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences
A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers - Summer Institute in Survey Research Techniques (July 19, 2022 1:00pm) https://events.umich.edu/event/95709 95709-21790760@events.umich.edu Event Begins: Tuesday, July 19, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers

Course open for registration!

July 18-19, 2022
1:00pm-5:00pm
M/T

This short course will offer a very practical introduction to data gathering geared at social scientists and survey researchers. This course begins with an overview of web scraping discussing some basic technical jargon, types of web data and various methods for scraping. The course also includes a discussion and illustration of Application Programming Interfaces (APIs) use for gathering web data when they are available. Some websites are designed to be easily accessible by web crawlers or scraping algorithms while others require much more advanced, custom programming. And some web data can be accessed using an API that is provided by the website. In this course we will illustrate how participants can discern these differences as well as presenting several motivating examples of the various ways web scraped data can be used throughout a study’s lifecycle from design to calibration to analysis. We provide an extensive introduction to a suite of freeware programs that allow virtually syntax free, but customizable, web scraping capabilities. We contrast this type of gathered data access to APIs for some websites like Zillow or Twitter and discuss pros and cons of using web scraping or APIs to gather this type of web data. The course concludes with specific focus on the import.io tool where we demonstrate its capabilities and provide several, hands-on practical examples for participants to begin scraping several websites of increasing complexity. We will also illustrate API calls in R for Zillow, the Census and others as time permits.

Not for academic credit.

Instructor: Trent Buskirk

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Mon, 20 Jun 2022 13:50:13 -0400 2022-07-19T13:00:00-04:00 2022-07-19T17:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers
Intermediate Questionnaire Design - Summer Institute in Survey Research Techniques (July 20, 2022 8:30am) https://events.umich.edu/event/95256 95256-21789093@events.umich.edu Event Begins: Wednesday, July 20, 2022 8:30am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Intermediate Questionnaire Design

Open for registration!

July 18-21, 2022
8:30am - 12:00pm EST
M/T/W/Th

Participants should have prior knowledge of question design before attending.

This course is designed to follow on from Introduction to Questionnaire Design. Now instead of looking at question comprehension from a cognitive side, the linguistic side will be explored including online tools. Factual questions will be revisited but with the goal of exploring different types of respondent memory problems and their solutions, while also covering time anomalies in surveys and quasi facts. Subjective questions will be revisited to understand attitude consistency and inconsistency, to look at the feasibility of changing attitudes to change behavioral intentions to change behaviors and to cover the popular topic of satisfaction and other customer experience metrics. Alternatives to questionnaires will also be covered such as event history calendars, internet enabled devices, factorial surveys and multi-item scales. The course concludes with ways to translate survey questions and evaluate the translation. The course will be interactive with the goal of making it as close to in-person training as possible. There also will be workshops throughout. Pamela is happy to chat with participants about their own questionnaires.

Course Hour: 1

Instructor: Pamela Campanelli

Prerequisite: An introductory course in questionnaire design or equivalent experience.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:26:26 -0400 2022-07-20T08:30:00-04:00 2022-07-20T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Intermediate Questionnaire Design
Data Visualization for Active Monitoring-Part 2 - Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (July 20, 2022 9:00am) https://events.umich.edu/event/95468 95468-21789953@events.umich.edu Event Begins: Wednesday, July 20, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Data Visualization for Active Monitoring-Part 2

Webinar open for registration!

July 20, 2022
9:00am-1:00pm
W

This second webinar in a two-part webinar series on data visualization for production monitoring will demonstrate concepts from the first webinar using examples from actual dashboards. We will briefly explore methods for modeling incoming paradata in order to detect outliers. We will then consider practical issues associated with the development of dashboards, including software alternatives. Finally, we will demonstrate how to update dashboards using data reflecting the results of ongoing fieldwork. Participants will be provided with template spreadsheet dashboards for their own applications.

Not for academic credit.

Instructors: Brad Edwards & Victoria Vignare

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 16:41:12 -0400 2022-07-20T09:00:00-04:00 2022-07-20T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 20, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788855@events.umich.edu Event Begins: Wednesday, July 20, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-20T10:00:00-04:00 2022-07-20T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
An Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists - Summer Institute in Survey Research Techniques (July 20, 2022 1:00pm) https://events.umich.edu/event/95710 95710-21790763@events.umich.edu Event Begins: Wednesday, July 20, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

An Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists

Course open for registration!
Open to all!

July 20-22, 2022
1:00pm – 5:00pm
M/Th/F

The amount of data generated as a by-product in society is growing fast including data from satellites, sensors, transactions, social media and smartphones, just to name a few. Such data are often referred to as “big data”, and can be used to create value in different areas such as health and crime prevention, commerce and fraud detection. An emerging practice in many areas is to append or link big data sources with more specific and smaller scale sources that often contain much more limited information. This practice has been used for some time by survey researchers in constructing frames by appending auxiliary information that is often not directly available on the frame, but can be obtained from an external source. Using Big Data has the potential to go beyond the sampling phase for survey researchers and in fact has the potential to influence the social sciences in general. Big Data is of interest for public opinion researchers and agencies that produce statistics to find alternative data sources either to reduce costs, to improve estimates or to produce estimates in a more timely fashion. However, Big Data pose several interesting and new challenges to survey researchers and social scientists among others who want to extract information from data. As Robert Groves (2012) pointedly commented, the era is “appropriately called Big Data and not Big Information”, because there is a lot of work for analysts before information can be gained from “auxiliary traces of some process that is going on in society.”

This course offers participants a broad overview of big data sources, opportunities and examples motivated within the survey and social science contexts including the use of social media data, para data and other such sources. This course also offers a detailed, practical introduction to four common machine learning methods that can be applied to big and small data alike at various aspects of a study’s lifecycle from design to nonresponse adjustments to propensity score matching to weighting and evaluation and analysis. The machine learning methods will be demonstrated in R and we will provide several different examples of using these methods along with multiple packages in R that offer these methods.

Not for academic credit

Instructor: Trent Buskirk

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Mon, 20 Jun 2022 14:06:23 -0400 2022-07-20T13:00:00-04:00 2022-07-20T17:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction An Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists
Intermediate Questionnaire Design - Summer Institute in Survey Research Techniques (July 21, 2022 8:30am) https://events.umich.edu/event/95256 95256-21789094@events.umich.edu Event Begins: Thursday, July 21, 2022 8:30am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Intermediate Questionnaire Design

Open for registration!

July 18-21, 2022
8:30am - 12:00pm EST
M/T/W/Th

Participants should have prior knowledge of question design before attending.

This course is designed to follow on from Introduction to Questionnaire Design. Now instead of looking at question comprehension from a cognitive side, the linguistic side will be explored including online tools. Factual questions will be revisited but with the goal of exploring different types of respondent memory problems and their solutions, while also covering time anomalies in surveys and quasi facts. Subjective questions will be revisited to understand attitude consistency and inconsistency, to look at the feasibility of changing attitudes to change behavioral intentions to change behaviors and to cover the popular topic of satisfaction and other customer experience metrics. Alternatives to questionnaires will also be covered such as event history calendars, internet enabled devices, factorial surveys and multi-item scales. The course concludes with ways to translate survey questions and evaluate the translation. The course will be interactive with the goal of making it as close to in-person training as possible. There also will be workshops throughout. Pamela is happy to chat with participants about their own questionnaires.

Course Hour: 1

Instructor: Pamela Campanelli

Prerequisite: An introductory course in questionnaire design or equivalent experience.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:26:26 -0400 2022-07-21T08:30:00-04:00 2022-07-21T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Intermediate Questionnaire Design
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 21, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788962@events.umich.edu Event Begins: Thursday, July 21, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-21T10:00:00-04:00 2022-07-21T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
An Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists - Summer Institute in Survey Research Techniques (July 21, 2022 1:00pm) https://events.umich.edu/event/95710 95710-21790764@events.umich.edu Event Begins: Thursday, July 21, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

An Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists

Course open for registration!
Open to all!

July 20-22, 2022
1:00pm – 5:00pm
M/Th/F

The amount of data generated as a by-product in society is growing fast including data from satellites, sensors, transactions, social media and smartphones, just to name a few. Such data are often referred to as “big data”, and can be used to create value in different areas such as health and crime prevention, commerce and fraud detection. An emerging practice in many areas is to append or link big data sources with more specific and smaller scale sources that often contain much more limited information. This practice has been used for some time by survey researchers in constructing frames by appending auxiliary information that is often not directly available on the frame, but can be obtained from an external source. Using Big Data has the potential to go beyond the sampling phase for survey researchers and in fact has the potential to influence the social sciences in general. Big Data is of interest for public opinion researchers and agencies that produce statistics to find alternative data sources either to reduce costs, to improve estimates or to produce estimates in a more timely fashion. However, Big Data pose several interesting and new challenges to survey researchers and social scientists among others who want to extract information from data. As Robert Groves (2012) pointedly commented, the era is “appropriately called Big Data and not Big Information”, because there is a lot of work for analysts before information can be gained from “auxiliary traces of some process that is going on in society.”

This course offers participants a broad overview of big data sources, opportunities and examples motivated within the survey and social science contexts including the use of social media data, para data and other such sources. This course also offers a detailed, practical introduction to four common machine learning methods that can be applied to big and small data alike at various aspects of a study’s lifecycle from design to nonresponse adjustments to propensity score matching to weighting and evaluation and analysis. The machine learning methods will be demonstrated in R and we will provide several different examples of using these methods along with multiple packages in R that offer these methods.

Not for academic credit

Instructor: Trent Buskirk

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Mon, 20 Jun 2022 14:06:23 -0400 2022-07-21T13:00:00-04:00 2022-07-21T17:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction An Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 22, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788857@events.umich.edu Event Begins: Friday, July 22, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-22T10:00:00-04:00 2022-07-22T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences - Summer Institute in Survey Research Techniques (July 22, 2022 11:00am) https://events.umich.edu/event/95255 95255-21789090@events.umich.edu Event Begins: Friday, July 22, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

July 12 - 22, 2022
11:00am – 1:00pm EST
T & F

The recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.

Course Hour: 1

Instructors: Florian Keusch, Heidi Guyer

Prerequisite: You must have your own laptop to participate in this class.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:25:32 -0400 2022-07-22T11:00:00-04:00 2022-07-22T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences
An Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists - Summer Institute in Survey Research Techniques (July 22, 2022 1:00pm) https://events.umich.edu/event/95710 95710-21790765@events.umich.edu Event Begins: Friday, July 22, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

An Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists

Course open for registration!
Open to all!

July 20-22, 2022
1:00pm – 5:00pm
M/Th/F

The amount of data generated as a by-product in society is growing fast including data from satellites, sensors, transactions, social media and smartphones, just to name a few. Such data are often referred to as “big data”, and can be used to create value in different areas such as health and crime prevention, commerce and fraud detection. An emerging practice in many areas is to append or link big data sources with more specific and smaller scale sources that often contain much more limited information. This practice has been used for some time by survey researchers in constructing frames by appending auxiliary information that is often not directly available on the frame, but can be obtained from an external source. Using Big Data has the potential to go beyond the sampling phase for survey researchers and in fact has the potential to influence the social sciences in general. Big Data is of interest for public opinion researchers and agencies that produce statistics to find alternative data sources either to reduce costs, to improve estimates or to produce estimates in a more timely fashion. However, Big Data pose several interesting and new challenges to survey researchers and social scientists among others who want to extract information from data. As Robert Groves (2012) pointedly commented, the era is “appropriately called Big Data and not Big Information”, because there is a lot of work for analysts before information can be gained from “auxiliary traces of some process that is going on in society.”

This course offers participants a broad overview of big data sources, opportunities and examples motivated within the survey and social science contexts including the use of social media data, para data and other such sources. This course also offers a detailed, practical introduction to four common machine learning methods that can be applied to big and small data alike at various aspects of a study’s lifecycle from design to nonresponse adjustments to propensity score matching to weighting and evaluation and analysis. The machine learning methods will be demonstrated in R and we will provide several different examples of using these methods along with multiple packages in R that offer these methods.

Not for academic credit

Instructor: Trent Buskirk

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Mon, 20 Jun 2022 14:06:23 -0400 2022-07-22T13:00:00-04:00 2022-07-22T17:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction An Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 25, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790769@events.umich.edu Event Begins: Monday, July 25, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

]]>
Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-25T09:00:00-04:00 2022-07-25T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 25, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788860@events.umich.edu Event Begins: Monday, July 25, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-25T10:00:00-04:00 2022-07-25T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 25, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788966@events.umich.edu Event Begins: Monday, July 25, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-25T10:00:00-04:00 2022-07-25T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 26, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790770@events.umich.edu Event Begins: Tuesday, July 26, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

]]>
Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-26T09:00:00-04:00 2022-07-26T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 26, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788967@events.umich.edu Event Begins: Tuesday, July 26, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-26T10:00:00-04:00 2022-07-26T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 27, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790771@events.umich.edu Event Begins: Wednesday, July 27, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

]]>
Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-27T09:00:00-04:00 2022-07-27T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 27, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788862@events.umich.edu Event Begins: Wednesday, July 27, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-27T10:00:00-04:00 2022-07-27T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 28, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790772@events.umich.edu Event Begins: Thursday, July 28, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

]]>
Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-28T09:00:00-04:00 2022-07-28T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 28, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788969@events.umich.edu Event Begins: Thursday, July 28, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-28T10:00:00-04:00 2022-07-28T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 29, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790773@events.umich.edu Event Begins: Friday, July 29, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

]]>
Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-29T09:00:00-04:00 2022-07-29T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 29, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788864@events.umich.edu Event Begins: Friday, July 29, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-29T10:00:00-04:00 2022-07-29T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
MIDAS Research Pitches and Welcome Social (September 6, 2022 2:00pm) https://events.umich.edu/event/97500 97500-21794661@events.umich.edu Event Begins: Tuesday, September 6, 2022 2:00pm
Location: Weiser Hall
Organized By: Michigan Institute for Data Science

Start the fall semester with this social event for the U-M data science and AI research community! Find out about exciting data science research that is happening at U-M, explore collaboration opportunities and student research opportunities. A number of junior faculty members and faculty new to U-M will each give a 3-minute lightning talk, and there will be ample networking time. Refreshments provided. All U-M faculty, staff and students are welcome to attend.

Register To Attend
https://forms.gle/JuRdZvV57bKpo4Ri9

Faculty Presenters (in alphabetical order):
Dr. Omar Ahmed
Assistant Professor, Psychology, LSA
Research Focus: Recording and analysis of massive volumes of neural data to understand, predict and treat neuropsychiatric disorders

Dr. Raed Al Kontar
Assistant Professor, Industrial & Operations Engineering, College of Engineering
Research Focus: Federated and distributed data analytics

Dr. Karen Alofs
Assistant Professor, School for Environment and Sustainability
Research Focus: Fish ecology and environmental change using historical data, museum specimens, field surveys, lab experiments and models

Dr. Lia Corrales
Assistant Professor, Astronomy, LSA
Research Focus: Data driven techniques for exoplanet detection in the NUV; data driven X-ray imaging techniques

Dr. Walter Dempsey
Assistant Professor, Biostatistics, School of Public Health
Research Focus: Data analytic methods in mobile and digital health

Dr. Ben Fish
Assistant Professor, Computer Science and Engineering, College of Engineering
Research Focus: Foundations of the social consequences of computing, particularly discrimination in machine learning

Dr. Edgar Franco Vivianco
Assistant Professor, Political Science, LSA
Research Focus: Handwritten text recognition models to analyze a corpus of interactions of Latin American colonial documents with the objective to analyze interactions of indigenous communities with the colonial state, the strategies they employed to resist exploitation, and their engagement with the legal system

Dr. Ben Green
Assistant Professor, Ford School of Public Policy
Research Focus: Design and ethics of government algorithms, with a focus on algorithmic fairness, human-algorithm interactions, and AI regulation

Dr. Amie Gordon
Assistant Professor, Psychology, LSA
Research Focus: Health and well-being in the context of close relationships utilizing experimental, observational, survey, dyadic, daily experience, longitudinal, and physiological methods.

Dr. Xun Huan
Assistant Professor, Mechanical Engineering, College of Engineering
Research Focus: Methods and algorithms of Bayesian computation and their applications in the areas of engineering and healthcare

Dr. Rahul Ladhania
Assistant Professor, School of Public Health
Research Focus: Machine Learning for causal inference in behavior science and public health

Dr. Brian Lin
Assistant Research Scientist, University of Michigan Transportation Research Institute (UMTRI), College of Engineering
Research Focus: Using data-driven methods to explore driver and vulnerable road user's behavior and interaction with automated vehicles

Dr. Anthony Million
Research Investigator, Inter-university Consortium for Political and Social Research (ICPSR), Institute for Social Research
Research Focus: Investigating if pre-registration systems need discipline-specific design features and what these features might be

Dr. Matthew VanEseltine
Assistant Research Scientist, Survey Research Center, Institute for Social Research
Research Focus: The science of science, team science, early careers in scientific research, gender and science, and open science with restricted data

Dr. Joshua Welch
Assistant Professor, Computational Medicine and Bioinformatics, Medicine
Research Focus: Machine learning for single-cell genomics

]]>
Social / Informal Gathering Tue, 06 Sep 2022 11:13:53 -0400 2022-09-06T14:00:00-04:00 2022-09-06T16:00:00-04:00 Weiser Hall Michigan Institute for Data Science Social / Informal Gathering Networking
Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences - Summer Institute in Survey Research Techniques (September 7, 2022 10:00am) https://events.umich.edu/event/95713 95713-21790774@events.umich.edu Event Begins: Wednesday, September 7, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences

Course open for registration!
Open to all!

September 7 - October 5, 2022
10:00am-12:00pm
Wednesdays

Social scientists are increasingly interested in machine learning methods to glean scientific knowledge and actionable insights from designed and gathered data. Implementing machine learning, however, requires users to have programming skills. This can be a daunting challenge for many non-tech savvy researchers. This course aims to guide social scientists to explore how machine learning can be used for their research without learning how to code. This course uses a graphical user interface tool Orange to provide learners with hands-on experiences in implementing machine learning techniques including data cleaning, visualization, and fine-tuning of algorithmic models. The open-source tool Orange is built on popular Python packages, providing basically the same functions and performances as many data scientists would obtain by writing complicated code. The course demonstrates that researchers can utilize the power of machine learning without learning how to code and focus more on machine learning concepts and best practices as well as analytical model development and validation.

Prerequisite: You must have your own laptop or desktop with Orange installed to participate in this class. For installation instruction of Orange, see https://orangedatamining.com/

Not for academic credit.

Instructor: Jinseok Kim

All 2022 courses will be held in an alternative format.

]]>
Class / Instruction Mon, 20 Jun 2022 14:53:44 -0400 2022-09-07T10:00:00-04:00 2022-09-07T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences - Summer Institute in Survey Research Techniques (September 14, 2022 10:00am) https://events.umich.edu/event/95713 95713-21790775@events.umich.edu Event Begins: Wednesday, September 14, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences

Course open for registration!
Open to all!

September 7 - October 5, 2022
10:00am-12:00pm
Wednesdays

Social scientists are increasingly interested in machine learning methods to glean scientific knowledge and actionable insights from designed and gathered data. Implementing machine learning, however, requires users to have programming skills. This can be a daunting challenge for many non-tech savvy researchers. This course aims to guide social scientists to explore how machine learning can be used for their research without learning how to code. This course uses a graphical user interface tool Orange to provide learners with hands-on experiences in implementing machine learning techniques including data cleaning, visualization, and fine-tuning of algorithmic models. The open-source tool Orange is built on popular Python packages, providing basically the same functions and performances as many data scientists would obtain by writing complicated code. The course demonstrates that researchers can utilize the power of machine learning without learning how to code and focus more on machine learning concepts and best practices as well as analytical model development and validation.

Prerequisite: You must have your own laptop or desktop with Orange installed to participate in this class. For installation instruction of Orange, see https://orangedatamining.com/

Not for academic credit.

Instructor: Jinseok Kim

All 2022 courses will be held in an alternative format.

]]>
Class / Instruction Mon, 20 Jun 2022 14:53:44 -0400 2022-09-14T10:00:00-04:00 2022-09-14T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
ICPSR Data Fair - a free virtual data conference (September 19, 2022 10:00am) https://events.umich.edu/event/97433 97433-21794559@events.umich.edu Event Begins: Monday, September 19, 2022 10:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

ICPSR (the world's largest social science data archive) is hosting the Data Fair, offering tools and inspiration for the global data community. Featuring 20+ virtual presentations on data and resources. Presentation topics include COVID data, criminal justice, economics, health care, drug use, sociology, data visualizations, and more. All presentations will be 30 minutes or less!

Please spread the word. The Data Fair is completely free, open to the public, and takes place entirely online.

When: September 19-23, 2022
Where: Online
Who’s invited: Open to the public
Register at https://myumi.ch/ICPSRDataFair2022

]]>
Conference / Symposium Thu, 25 Aug 2022 13:38:37 -0400 2022-09-19T10:00:00-04:00 2022-09-19T16:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Conference / Symposium ICPSR Data Fair 2022 image with a hand holding a deconstructed globe on a green background
ICPSR Data Fair - a free virtual data conference (September 20, 2022 10:00am) https://events.umich.edu/event/97433 97433-21794560@events.umich.edu Event Begins: Tuesday, September 20, 2022 10:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

ICPSR (the world's largest social science data archive) is hosting the Data Fair, offering tools and inspiration for the global data community. Featuring 20+ virtual presentations on data and resources. Presentation topics include COVID data, criminal justice, economics, health care, drug use, sociology, data visualizations, and more. All presentations will be 30 minutes or less!

Please spread the word. The Data Fair is completely free, open to the public, and takes place entirely online.

When: September 19-23, 2022
Where: Online
Who’s invited: Open to the public
Register at https://myumi.ch/ICPSRDataFair2022

]]>
Conference / Symposium Thu, 25 Aug 2022 13:38:37 -0400 2022-09-20T10:00:00-04:00 2022-09-20T16:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Conference / Symposium ICPSR Data Fair 2022 image with a hand holding a deconstructed globe on a green background
Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences - Summer Institute in Survey Research Techniques (September 21, 2022 10:00am) https://events.umich.edu/event/95713 95713-21790776@events.umich.edu Event Begins: Wednesday, September 21, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences

Course open for registration!
Open to all!

September 7 - October 5, 2022
10:00am-12:00pm
Wednesdays

Social scientists are increasingly interested in machine learning methods to glean scientific knowledge and actionable insights from designed and gathered data. Implementing machine learning, however, requires users to have programming skills. This can be a daunting challenge for many non-tech savvy researchers. This course aims to guide social scientists to explore how machine learning can be used for their research without learning how to code. This course uses a graphical user interface tool Orange to provide learners with hands-on experiences in implementing machine learning techniques including data cleaning, visualization, and fine-tuning of algorithmic models. The open-source tool Orange is built on popular Python packages, providing basically the same functions and performances as many data scientists would obtain by writing complicated code. The course demonstrates that researchers can utilize the power of machine learning without learning how to code and focus more on machine learning concepts and best practices as well as analytical model development and validation.

Prerequisite: You must have your own laptop or desktop with Orange installed to participate in this class. For installation instruction of Orange, see https://orangedatamining.com/

Not for academic credit.

Instructor: Jinseok Kim

All 2022 courses will be held in an alternative format.

]]>
Class / Instruction Mon, 20 Jun 2022 14:53:44 -0400 2022-09-21T10:00:00-04:00 2022-09-21T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
ICPSR Data Fair - a free virtual data conference (September 21, 2022 10:00am) https://events.umich.edu/event/97433 97433-21794561@events.umich.edu Event Begins: Wednesday, September 21, 2022 10:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

ICPSR (the world's largest social science data archive) is hosting the Data Fair, offering tools and inspiration for the global data community. Featuring 20+ virtual presentations on data and resources. Presentation topics include COVID data, criminal justice, economics, health care, drug use, sociology, data visualizations, and more. All presentations will be 30 minutes or less!

Please spread the word. The Data Fair is completely free, open to the public, and takes place entirely online.

When: September 19-23, 2022
Where: Online
Who’s invited: Open to the public
Register at https://myumi.ch/ICPSRDataFair2022

]]>
Conference / Symposium Thu, 25 Aug 2022 13:38:37 -0400 2022-09-21T10:00:00-04:00 2022-09-21T16:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Conference / Symposium ICPSR Data Fair 2022 image with a hand holding a deconstructed globe on a green background
Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences - Summer Institute in Survey Research Techniques (September 21, 2022 11:00am) https://events.umich.edu/event/95724 95724-21790794@events.umich.edu Event Begins: Wednesday, September 21, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences

Course open for registration!
Open to all!

September 21-30, 2022
11:00am-1:00pm
Wednesdays and Fridays

The recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.

Not for academic credit.

Instructors: Florian Keusch and Heidi Guyer

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Wed, 22 Jun 2022 11:44:43 -0400 2022-09-21T11:00:00-04:00 2022-09-21T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
ICPSR Data Fair - a free virtual data conference (September 22, 2022 10:00am) https://events.umich.edu/event/97433 97433-21794562@events.umich.edu Event Begins: Thursday, September 22, 2022 10:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

ICPSR (the world's largest social science data archive) is hosting the Data Fair, offering tools and inspiration for the global data community. Featuring 20+ virtual presentations on data and resources. Presentation topics include COVID data, criminal justice, economics, health care, drug use, sociology, data visualizations, and more. All presentations will be 30 minutes or less!

Please spread the word. The Data Fair is completely free, open to the public, and takes place entirely online.

When: September 19-23, 2022
Where: Online
Who’s invited: Open to the public
Register at https://myumi.ch/ICPSRDataFair2022

]]>
Conference / Symposium Thu, 25 Aug 2022 13:38:37 -0400 2022-09-22T10:00:00-04:00 2022-09-22T16:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Conference / Symposium ICPSR Data Fair 2022 image with a hand holding a deconstructed globe on a green background
ICPSR Data Fair - a free virtual data conference (September 23, 2022 10:00am) https://events.umich.edu/event/97433 97433-21794563@events.umich.edu Event Begins: Friday, September 23, 2022 10:00am
Location: Off Campus Location
Organized By: Inter-university Consortium for Political and Social Research

ICPSR (the world's largest social science data archive) is hosting the Data Fair, offering tools and inspiration for the global data community. Featuring 20+ virtual presentations on data and resources. Presentation topics include COVID data, criminal justice, economics, health care, drug use, sociology, data visualizations, and more. All presentations will be 30 minutes or less!

Please spread the word. The Data Fair is completely free, open to the public, and takes place entirely online.

When: September 19-23, 2022
Where: Online
Who’s invited: Open to the public
Register at https://myumi.ch/ICPSRDataFair2022

]]>
Conference / Symposium Thu, 25 Aug 2022 13:38:37 -0400 2022-09-23T10:00:00-04:00 2022-09-23T16:00:00-04:00 Off Campus Location Inter-university Consortium for Political and Social Research Conference / Symposium ICPSR Data Fair 2022 image with a hand holding a deconstructed globe on a green background
Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences - Summer Institute in Survey Research Techniques (September 23, 2022 11:00am) https://events.umich.edu/event/95724 95724-21790796@events.umich.edu Event Begins: Friday, September 23, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences

Course open for registration!
Open to all!

September 21-30, 2022
11:00am-1:00pm
Wednesdays and Fridays

The recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.

Not for academic credit.

Instructors: Florian Keusch and Heidi Guyer

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Wed, 22 Jun 2022 11:44:43 -0400 2022-09-23T11:00:00-04:00 2022-09-23T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences - Summer Institute in Survey Research Techniques (September 28, 2022 10:00am) https://events.umich.edu/event/95713 95713-21790777@events.umich.edu Event Begins: Wednesday, September 28, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences

Course open for registration!
Open to all!

September 7 - October 5, 2022
10:00am-12:00pm
Wednesdays

Social scientists are increasingly interested in machine learning methods to glean scientific knowledge and actionable insights from designed and gathered data. Implementing machine learning, however, requires users to have programming skills. This can be a daunting challenge for many non-tech savvy researchers. This course aims to guide social scientists to explore how machine learning can be used for their research without learning how to code. This course uses a graphical user interface tool Orange to provide learners with hands-on experiences in implementing machine learning techniques including data cleaning, visualization, and fine-tuning of algorithmic models. The open-source tool Orange is built on popular Python packages, providing basically the same functions and performances as many data scientists would obtain by writing complicated code. The course demonstrates that researchers can utilize the power of machine learning without learning how to code and focus more on machine learning concepts and best practices as well as analytical model development and validation.

Prerequisite: You must have your own laptop or desktop with Orange installed to participate in this class. For installation instruction of Orange, see https://orangedatamining.com/

Not for academic credit.

Instructor: Jinseok Kim

All 2022 courses will be held in an alternative format.

]]>
Class / Instruction Mon, 20 Jun 2022 14:53:44 -0400 2022-09-28T10:00:00-04:00 2022-09-28T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences - Summer Institute in Survey Research Techniques (September 28, 2022 11:00am) https://events.umich.edu/event/95724 95724-21790795@events.umich.edu Event Begins: Wednesday, September 28, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences

Course open for registration!
Open to all!

September 21-30, 2022
11:00am-1:00pm
Wednesdays and Fridays

The recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.

Not for academic credit.

Instructors: Florian Keusch and Heidi Guyer

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Wed, 22 Jun 2022 11:44:43 -0400 2022-09-28T11:00:00-04:00 2022-09-28T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
Colloquium -- Datatopia: The Future of Scientific Discovery Through a Data Lens (September 29, 2022 12:30pm) https://events.umich.edu/event/97511 97511-21794665@events.umich.edu Event Begins: Thursday, September 29, 2022 12:30pm
Location: Michigan Union
Organized By: Michigan Institute for Data Science

Registration is not required for this free public event.

Data science is advancing scientific discovery in multiple ways, from protein folding to galaxy formation. Furthermore, it evidences the social mechanisms within scientific institutions more apt for innovation. To what extent, then, can data science elicit a radical restructuring of scientific practice? Can we harness its full potential?

In this colloquium we will explore the promises data science has for scientific inquiry while also taking a critical view on the processes of science-making and data extraction, analysis and implementation. Join us to engage with the data science of science and the science of data science through workshops and an afternoon of talks by guest speakers.

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Conference / Symposium Wed, 07 Sep 2022 14:04:40 -0400 2022-09-29T12:30:00-04:00 2022-09-29T17:15:00-04:00 Michigan Union Michigan Institute for Data Science Conference / Symposium ""
Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences - Summer Institute in Survey Research Techniques (September 30, 2022 11:00am) https://events.umich.edu/event/95724 95724-21790797@events.umich.edu Event Begins: Friday, September 30, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences

Course open for registration!
Open to all!

September 21-30, 2022
11:00am-1:00pm
Wednesdays and Fridays

The recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.

Not for academic credit.

Instructors: Florian Keusch and Heidi Guyer

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Wed, 22 Jun 2022 11:44:43 -0400 2022-09-30T11:00:00-04:00 2022-09-30T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
MGI 10th Anniversary Symposium (September 30, 2022 11:00am) https://events.umich.edu/event/97825 97825-21795204@events.umich.edu Event Begins: Friday, September 30, 2022 11:00am
Location: School of Public Health Bldg I and Crossroads and Tower
Organized By: Precision Health

At this free, in-person event, present and future users of Michigan Genomics Initiative (MGI) data can meet fellow MGI researchers and learn about the breadth and scope of ongoing MGI-supported research. We will present an overview of the available data resources to support your research, teaching, or grant writing, and explain how to access and use these resources. We will discuss our near-term and long-term goals and hope to get your input to shape our priorities.

Professor Goncalo Abecasis, D.Phil., will deliver a keynote address, and six MGI researchers will discuss their experience and highlight projects that benefited from MGI data.

Lunch will be provided, to give present and future MGI researchers, students, and postdocs the opportunity to network.

The one-day symposium will run from 11 am to 5 pm on Friday, September 30.

Attendance is free for registered participants.

Please RSVP By September 21.

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Conference / Symposium Fri, 02 Sep 2022 13:03:43 -0400 2022-09-30T11:00:00-04:00 2022-09-30T17:00:00-04:00 School of Public Health Bldg I and Crossroads and Tower Precision Health Conference / Symposium Keynote Speaker Goncalo Abecasis
Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences - Summer Institute in Survey Research Techniques (October 5, 2022 10:00am) https://events.umich.edu/event/95713 95713-21790778@events.umich.edu Event Begins: Wednesday, October 5, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences

Course open for registration!
Open to all!

September 7 - October 5, 2022
10:00am-12:00pm
Wednesdays

Social scientists are increasingly interested in machine learning methods to glean scientific knowledge and actionable insights from designed and gathered data. Implementing machine learning, however, requires users to have programming skills. This can be a daunting challenge for many non-tech savvy researchers. This course aims to guide social scientists to explore how machine learning can be used for their research without learning how to code. This course uses a graphical user interface tool Orange to provide learners with hands-on experiences in implementing machine learning techniques including data cleaning, visualization, and fine-tuning of algorithmic models. The open-source tool Orange is built on popular Python packages, providing basically the same functions and performances as many data scientists would obtain by writing complicated code. The course demonstrates that researchers can utilize the power of machine learning without learning how to code and focus more on machine learning concepts and best practices as well as analytical model development and validation.

Prerequisite: You must have your own laptop or desktop with Orange installed to participate in this class. For installation instruction of Orange, see https://orangedatamining.com/

Not for academic credit.

Instructor: Jinseok Kim

All 2022 courses will be held in an alternative format.

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Class / Instruction Mon, 20 Jun 2022 14:53:44 -0400 2022-10-05T10:00:00-04:00 2022-10-05T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
A Visit with Sam Schillace, Microsoft CVP (October 6, 2022 4:00pm) https://events.umich.edu/event/98662 98662-21797039@events.umich.edu Event Begins: Thursday, October 6, 2022 4:00pm
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

Sam Schillace, Microsoft Corporate Vice President (CVP) and Deputy Chief Technical Officer, will visit the University of Michigan campus and meet with data science graduate and undergraduate students and postdocs.

A University of Michigan mathematics and combinatorics alumnus, Schillace is an industry leader in consumer software development, product innovation and next generation productivity tools.

Register soon -- capacity for this free event is limited to just 30 attendees!

Earl Lewis Room, Rackham Graduate School
Oct. 6, 2022, 4:00pm-5:00pm.

Register by Sept. 22.
https://myumi.ch/3kw97

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Presentation Tue, 13 Sep 2022 15:15:16 -0400 2022-10-06T16:00:00-04:00 2022-10-06T17:00:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Presentation Sam Schillace
New AI in Science Postdoctoral Fellowship Program Town Hall Meeting #1 (October 10, 2022 10:00am) https://events.umich.edu/event/99913 99913-21798876@events.umich.edu Event Begins: Monday, October 10, 2022 10:00am
Location: BBB
Organized By: Michigan Institute for Data Science

MIDAS is excited to announce a new AI in Science Postdoctoral Fellowship Program at U-M, which will launch this semester!

Funded by an as-yet-unnamed donor, this campus-wide program, managed by MIDAS, focuses on enabling major research breakthroughs in science and engineering through the adoption of cutting-edge AI methodologies. The program will accept 10 new postdocs each year for the next six years.

On October 10th, we will hold two town hall meetings to introduce the new AI in Science Postdoctoral Fellowship Program at Michigan. The program leadership team will provide details of the program, outline the application process, and answer questions. There will also be networking time so that faculty members interested in being mentors can talk with each other, and potential candidates can connect with faculty mentors.
To support attendees on North and Central campus, we will offer two meetings with identical content:

Meeting #1 (North Campus): Oct. 10, 10am - 12pm, Tishman Lobby, Bob and Betty Beyster Building, 2260 Hayward Street.

Meeting #2 (Central Campus): Oct.10, 12:30pm - 2:30pm, Weiser Hall 10th floor, 500 Church Street.

Sign up to attend a Town Hall session

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Presentation Thu, 06 Oct 2022 11:36:59 -0400 2022-10-10T10:00:00-04:00 2022-10-10T12:00:00-04:00 BBB Michigan Institute for Data Science Presentation Town Hall Meeting
New AI in Science Postdoctoral Fellowship Program Town Hall Meeting #2 (October 10, 2022 12:30pm) https://events.umich.edu/event/99915 99915-21798880@events.umich.edu Event Begins: Monday, October 10, 2022 12:30pm
Location: Weiser Hall
Organized By: Michigan Institute for Data Science

MIDAS is excited to announce a new AI in Science Postdoctoral Fellowship Program at U-M, which will launch this semester!

Funded by an as-yet-unnamed donor, this campus-wide program, managed by MIDAS, focuses on enabling major research breakthroughs in science and engineering through the adoption of cutting-edge AI methodologies. The program will accept 10 new postdocs each year for the next six years.

On October 10th, we will hold two town hall meetings to introduce the new AI in Science Postdoctoral Fellowship Program at Michigan. The program leadership team will provide details of the program, outline the application process, and answer questions. There will also be networking time so that faculty members interested in being mentors can talk with each other, and potential candidates can connect with faculty mentors.
To support attendees on North and Central campus, we will offer two meetings with identical content:

Meeting #1 (North Campus): Oct. 10, 10am - 12pm, Tishman Lobby, Bob and Betty Beyster Building, 2260 Hayward Street.

Meeting #2 (Central Campus): Oct.10, 12:30pm - 2:30pm, Weiser Hall 10th floor, 500 Church Street.

Sign up to attend a Town Hall session

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Presentation Thu, 06 Oct 2022 11:41:41 -0400 2022-10-10T12:30:00-04:00 2022-10-10T14:30:00-04:00 Weiser Hall Michigan Institute for Data Science Presentation Town Hall Meeting
MPSDS JPSM Seminar Series - Evaluating Pre-Election Polling Estimates using a New Measure of Non-Ignorable Selection Bias (October 12, 2022 12:00pm) https://events.umich.edu/event/98434 98434-21796653@events.umich.edu Event Begins: Wednesday, October 12, 2022 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
October 12, 2022, 12:00-1:00 pm

Brady T. West is a Research Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor (U-M) campus. He earned his PhD from the Michigan Program in Survey and Data Science in 2011. Before that, he received an MA in Applied Statistics from the U-M Statistics Department in 2002, being recognized as an Outstanding First-year Applied Masters student, and a BS in Statistics with Highest Honors and Highest Distinction from the U-M Statistics Department in 2001. His current research interests include the implications of measurement error in auxiliary variables and survey paradata for survey estimation, selection bias in surveys, responsive/adaptive survey design, interviewer effects, and multilevel regression models for clustered and longitudinal data. He is the lead author of a book comparing different statistical software packages in terms of their mixed-effects modeling procedures (Linear Mixed Models: A Practical Guide using Statistical Software, Third Edition, Chapman Hall/CRC Press, 2022), and he is a co-author of a second book entitled Applied Survey Data Analysis (with Steven Heeringa and Pat Berglund), the second edition of which was published by CRC Press in June 2017. He was elected as a Fellow of the American Statistical Association in 2022.

Among the numerous explanations that have been offered for recent errors in pre-election polls, selection bias due to non-ignorable partisan nonresponse bias, where the probability of responding to a poll is a function of the candidate preference that a poll is attempting to measure (even after conditioning on other relevant covariates used for weighting adjustments), has received relatively less focus in the academic literature. Under this type of selection mechanism, estimates of candidate preferences based on individual or aggregated polls may be subject to significant bias, even after standard weighting adjustments. Until recently, methods for measuring and adjusting for this type of non-ignorable selection bias have been unavailable. Fortunately, recent developments in the methodological literature have provided political researchers with easy-to-use measures of non-ignorable selection bias. In this study, we apply a new measure that has been developed specifically for estimated proportions to this challenging problem. We analyze data from 18 different pre-election polls: nine different telephone polls conducted in eight different states prior to the U.S. Presidential election in 2020, and nine different pre-election polls conducted either online or via telephone in Great Britain prior to the 2015 General Election. We rigorously evaluate the ability of this new measure to detect and adjust for selection bias in estimates of the proportion of likely voters that will vote for a specific candidate, using official outcomes from each election as benchmarks and alternative data sources for estimating key characteristics of the likely voter populations in each context.

MPSDS
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

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Workshop / Seminar Tue, 20 Sep 2022 11:50:22 -0400 2022-10-12T12:00:00-04:00 2022-10-12T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Workshop / Seminar Flyer for Evaluating Pre-Election Polling Estimates using a New Measure of Non-Ignorable Selection Bias
Information Session Webinar- Michigan Program in Survey and Data Science (MPSDS) (October 12, 2022 3:00pm) https://events.umich.edu/event/98336 98336-21796508@events.umich.edu Event Begins: Wednesday, October 12, 2022 3:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

Wednesday, October 12, 2002
3:00 - 4:00pm
Registration is required.

Please join us October 12, 2022 to learn about the Michigan Program in Survey and Data Science. The speaker will be Dr. Brady West.

Advance registration is required, https://bit.ly/3d3upwR

The Michigan Program in Survey and Data Science (MPSDS) offers graduate degrees that combine ideas and techniques for producing and analyzing data about humans and our society. Joint us to launch your career in this exciting and rewarding field in which scientists interpret the world through data.

The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

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Presentation Thu, 08 Sep 2022 14:38:06 -0400 2022-10-12T15:00:00-04:00 2022-10-12T16:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Presentation MPSDS Informational Session Webinar
MPSDS JPSM Seminar Series - How to Draw a Nationally-Representative Sample: Updating and Reassessing Monitoring the Future's Sampling Procedures (October 19, 2022 12:00pm) https://events.umich.edu/event/98438 98438-21796659@events.umich.edu Event Begins: Wednesday, October 19, 2022 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
October 19, 2022
12:00 - 1:00 pm EDT

Professor Richard Miech is Principal Investigator of Monitoring the Future, which since 1975 has drawn annual, nationally-representative samples of adolescents and tracked trends in adolescent drug use. His work focuses on trends in substance use, with an emphasis on disentangling how these trends vary by age, historical period, and birth cohort membership.

The national estimates of drug use from Monitoring the Future (MTF) serve as a gold standard in the field and are a key source of information for research, U.S. policymakers, and nonprofit organizations that seek to reduce teen drug use. For sample selection MTF uses a multistage, random sampling procedure that consists of (1) selection of a specific geographic areas, (2) selection of one or more high schools in each area, and (3) selection of students within each school. MTF has recently begun a revisit and overhaul of its sampling procedures, which were developed more than three decades ago. In this talk Professor Miech discusses this overhaul, including sampling challenges and issues that have arisen over the years, as well as opportunities to streamline and improve MTF sampling with new technology.

MPSDS
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

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Workshop / Seminar Tue, 20 Sep 2022 11:51:08 -0400 2022-10-19T12:00:00-04:00 2022-10-19T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Workshop / Seminar Flyer for https://www.src.isr.umich.edu/people/richard-miech/
MPSDS JPSM Seminar Series - Would electoral research show different findings if we replaced probability face-to-face surveys with other types of surveys? (October 26, 2022 12:00pm) https://events.umich.edu/event/99079 99079-21797546@events.umich.edu Event Begins: Wednesday, October 26, 2022 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
October 26, 2022
12:00 - 1:00 pm

Would electoral research show different findings if we replaced probability face-to-face surveys with nonprobability online surveys?

Hannah Bucher is a PhD student in survey research at the University of Mannheim and a research associate at GESIS - Leibniz-Institute for the Social Sciences at the German Longitudinal Election Study (GLES). Her research focuses on (non)probability online surveys.

As respondents of nonprobability online surveys are self-selected, it is often questioned whether results are comparable with those of probability face-to-face surveys. In this paper, I compare a nonprobability online survey and a probability face-to-face survey by the German Longitudinal Election Study (GLES) in terms of estimation of benchmark statistics; distributions in 80 variables covering measures of political attitudes and behavior; and differences in results of multivariate analyses through a multimodel comparison with individual-level voter turnout as the dependent variable. The probability face-to-face survey performs slightly better in estimating characteristics with external benchmarks. There are substantial differences in numerous variables and their associations in multivariate models. Thus, switching from a probability face-to-face survey to a nonprobability online survey affects empirical findings on individual-level voter turnout and the conclusions drawn therefrom.

MPSDS
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

SISRT
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

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Workshop / Seminar Wed, 26 Oct 2022 12:35:50 -0400 2022-10-26T12:00:00-04:00 2022-10-26T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Workshop / Seminar Flyer
MPSDS JPSM Seminar Series - A Multivariate Stopping Rule for Survey Data Collection (November 2, 2022 12:00pm) https://events.umich.edu/event/98854 98854-21797269@events.umich.edu Event Begins: Wednesday, November 2, 2022 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
November 2, 2022
12:00 - 1:00 EDT

Xinyu Zhang
A Multivariate Stopping Rule for Survey Data Collection

Bio
Xinyu Zhang is a PhD candidate studying survey and data science at the University of Michigan. He is primarily interested in responsive survey designs, survey nonresponse, and machine learning techniques. His dissertation topic is using models to inform responsive survey designs.

Abstract
Surveys are experiencing declining response rates. With more and more effort expended to combat these declining response rates, the cost of large-scale surveys has continued to rise. Recent technological developments in survey data collection have allowed the survey designer to make near-real-time intervention decisions. Stopping rules are one of the interventions often considered to improve the efficiency of data collection. Stopping some cases essentially reallocates effort from stopped cases to others, but most previously proposed stopping rules have only considered single estimates. In multipurpose surveys, there may be data quality objectives that must be met for multiple estimates with constraints on costs. We introduce a stopping rule that accounts for the cost and the quality of one or more estimates. The proposed stopping rule is illustrated via simulation using data from the Health and Retirement Study.

MPSDS
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

SISRT
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

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Workshop / Seminar Tue, 01 Nov 2022 13:40:59 -0400 2022-11-02T12:00:00-04:00 2022-11-02T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Workshop / Seminar Flyer
MPSDS JPSM Seminar Series - Accounting for Non-ignorable Sampling and Nonresponse in Statistical Matching (November 9, 2022 12:00pm) https://events.umich.edu/event/100348 100348-21799633@events.umich.edu Event Begins: Wednesday, November 9, 2022 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
November 9, 2022
12:00 - 1:00 EST

Accounting for Non-ignorable Sampling and Nonresponse in Statistical Matching

Danny Pfeffermann retired as the National Statistician and Director General of Israel's CBS. He is Professor Emeritus of Statistics at the Hebrew University of Jerusalem and Professor of Social Statistics at the University of Southampton. His main research areas are: Analytic inference from complex sample surveys; Seasonal adjustment and trend estimation; Small area estimation; Inference under informative sampling and nonresponse and more recently; Mode effects and Proxy surveys.

Professor Pfeffermann published about 80 articles in leading statistical journals and co-edited the two-volume handbook on Sample Surveys. He is Fellow of the American Statistical Association (ASA), the International Statistical Institute (ISI) and the Institute of Mathematical Statistics (IMS), and recipient of several international awards.

Abstract
Data for statistical analysis is often available from different samples, with each sample containing measurements on only some of the variables of interest. Statistical matching attempts to generate a fused database containing matched measurements on all the target variables. In this article, we consider the use of statistical matching when the samples are drawn by informative sampling designs and are subject to not missing at random nonresponse. The problem with ignoring the sampling process and nonresponse is that the distribution of the data observed for the responding units can be very different from the distribution holding for the population data, which may distort the inference process and result in a matched database that misrepresents the joint distribution in the population. Our proposed methodology employs the empirical likelihood approach and is shown to perform well in a simulation experiment and when applied to real sample data.

**Joint paper with Daniela Marella, to appear in International Statistical Review

MPSDS
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

SISRT
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

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Lecture / Discussion Mon, 17 Oct 2022 17:18:24 -0400 2022-11-09T12:00:00-05:00 2022-11-09T13:00:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer for Accounting for Non-ignorable Sampling and Nonresponse in Statistical Matching
Information Session Webinar- Michigan Program in Survey and Data Science (MPSDS) (November 10, 2022 9:30am) https://events.umich.edu/event/100543 100543-21800056@events.umich.edu Event Begins: Thursday, November 10, 2022 9:30am
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

Thursday, November 10, 2022
9:30 - 10:30am (EST)
Registration is required, https://tinyurl.com/422xdvdp

Please join us to learn about the University of Michigan Program in Survey and Data Science.

The Michigan Program in Survey and Data Science (MPSDS) offers graduate degrees that combine ideas and techniques for producing and analyzing data about humans and our society. Join us to launch your career in this exciting and rewarding field in which scientists interpret the world through data.

MPSDS
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

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Lecture / Discussion Fri, 21 Oct 2022 11:06:53 -0400 2022-11-10T09:30:00-05:00 2022-11-10T10:30:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion MPSDS Informational Session Webinar
MPSDS JPSM Seminar Series - Effect of Branching Middle Responses in Dichotomous Polar Scales in Web Surveys (November 30, 2022 12:00pm) https://events.umich.edu/event/101568 101568-21801526@events.umich.edu Event Begins: Wednesday, November 30, 2022 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
November 30, 2022
12:00 - 1:00 EST

Effect of Branching Middle Responses in Dichotomous Polar Scales in Web Surveys

In telephone surveys, 11 to 49% of respondents would select a middle alternative when it is offered although they would not volunteer it if it were not mentioned in dichotomous bipolar questions. Furthermore, offering a middle option led to differences in response effects that are related to respondent characteristics, including social desirability bias and satisficing effects. While a question form that branches middle responses has been shown to have a lower validity compared to offered form in telephone surveys, potentially, branched question form can motivate respondents to spend extra time and effort in giving a response in the absence of an interviewer. Therefore, differences in validity and reliability of responses to branched question form compared to offered form is a research interest in general population web surveys. This study tests the validity and the reliability to branched question form in a general population survey using a randomized experiment. The branched question form did not change validity and reliability of responses and reduced the satisficing behavior based on the proxies compared to the offered form.

Z. Tuba Suzer Gurtekin is an Assistant Research Scientist within the Institute for Social Research (ISR) at the University of Michigan. She is the scientific leader of the Surveys of Consumers, which conducts monthly national surveys of American households to understand consumer expectations and how those expectations impact their spending and saving behavior. Her research experience has included development of alternative sample, methodology and questionnaire designs, data collection and analysis methods for a general population in parallel survey modes. In addition to her work through the Surveys of Consumers, she also currently serves on the Board of Associate Editors of CDC’s Preventing Chronic Disease Journal. 608.82She teaches survey sampling and survey methodology in University of Michigan’s Clinical Research Design and Statistical Analysis Program (OJOC CRDSA).

MPSDS
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

SISRT
June 5 – July 28, 2023

The Summer Institute in Survey Research Techniques is a teaching program of the Survey Research Center at the Institute for Social Research. It is located on the central campus of the University of Michigan at 426 Thompson Street in Ann Arbor. The summer courses are select offerings from the Michigan Program in Survey and Data Science, and can be used to pursue a doctorate, master of science and a certificate in survey methodology.

All 2023 courses will be offered in an alternative remote format with the exception of the Sampling Program for Survey Statisticians. Payment of Summer Scholar and workshop fees must be made in full before you will be officially registered for class. Fees are based on total “course hours” (assigned to each course as shown in the section on description of courses and on the 2023 course schedule) although no formal academic credit is actually earned.

Our courses this summer will be offered primarily by two-way, live video through a platform that supports lectures and group work. In some cases, courses are offered in a flipped format in which lectures are video recorded for students to watch on-demand and then meet with their instructor by two-way live video to discuss the lectures, readings, and problem sets. All classes are scheduled in Eastern Standard Time Zone.

We have been offering courses in remote formats for many years through our connection with the graduate programs at the Universities of Michigan and Maryland which share all courses by live classroom-to-classroom video. In the COVID era, our transition to entirely remote instruction has been straightforward and brought the students’ experience very close to that of a place-based classroom.

We understand that some participants were looking forward to visiting Ann Arbor, networking and participating in social activities. As an alternative, we are planning several virtual social and networking activities in which participants will meet informally (by live video) with their instructors and just with each other in small groups to discuss various topics, some related to courses and some not. This will give participants a chance get to know each other as well as instructors outside the “classroom.” We’re excited to work with you as we learn how to best connect with each other remotely.

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Lecture / Discussion Tue, 22 Nov 2022 13:25:54 -0500 2022-11-30T12:00:00-05:00 2022-11-30T13:00:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
MPSDS JPSM Seminar Series - The Role of Data Collection in Population Science: Contemporary Studies from ABCD to HBCD (January 20, 2023 2:00pm) https://events.umich.edu/event/103756 103756-21807773@events.umich.edu Event Begins: Friday, January 20, 2023 2:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
February 1, 2023
12:00 - 1:00 EST

The Role of Data Collection in Population Science: Contemporary Studies from ABCD to HBCD

Abstract

Recently nationwide consortiums of multiple research sites have conducted multi-modal, longitudinal cohort studies and provided unprecedented data sources for population science research. For example, the Adolescent Brain Cognitive Development (ABCD) Study has collected data from 11,880 children ages 9-10 across 21 U.S. research sites, as the largest long-term study of brain development and child health; and the Healthy Brain and Child Development (HBCD) Study will enroll 7,500 pregnant women across 25 research sites and follow them from pregnancy through early childhood, as the largest long-term study of early brain and child development in the U.S. Both studies aim to reflect the sociodemographic diversity of the target population to enable characterization of natural variability and trajectories. Without probability sampling as the touchstone for randomization-based inferences, the data quality and analysis validity require rigorous evaluations and potentially rely on untestable assumptions. The data collection process also presents various challenges during practical operation.

In this talk, I look into both inference and design schemes to study the impact of data collection on population science. First, using the ABCD study as an example of secondary data analysis, I discuss inference approaches focusing on multilevel regression and poststratification for population generalizability and latent subgroup detection for population heterogeneity in brain activity and association studies. Second, I introduce the HBCD study design. HBCD also aims to include individuals demographically and behaviorally similar to those in the substance exposure group, but without exposure, to enable valid causal inference in a non-experimental study design. I discuss our proposed weighting, matching, and modeling strategies to leverage analysis goals to inform the design and dashboard monitoring for adaptive sample enrollment.

Bio

Yajuan Si is a Research Associate Professor in the Institute for Social Research at the University of Michigan. Dr Si’s research lies in cutting-edge methodology development in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, missing data analysis, confidentiality protection involving the creation and analysis of synthetic datasets, and causal inference with observational data.

Michigan Program in Survey and Data Science (MPSDS)
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

Summer Institute in Survey Research Techniques (SISRT)
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

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Lecture / Discussion Fri, 20 Jan 2023 14:51:50 -0500 2023-01-20T14:00:00-05:00 2023-01-20T15:00:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
MPSDS JPSM Seminar Series - The Role of Data Collection in Population Science: Contemporary Studies from ABCD to HBCD (January 20, 2023 2:00pm) https://events.umich.edu/event/103756 103756-21807774@events.umich.edu Event Begins: Friday, January 20, 2023 2:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS JPSM Seminar Series
February 1, 2023
12:00 - 1:00 EST

The Role of Data Collection in Population Science: Contemporary Studies from ABCD to HBCD

Abstract

Recently nationwide consortiums of multiple research sites have conducted multi-modal, longitudinal cohort studies and provided unprecedented data sources for population science research. For example, the Adolescent Brain Cognitive Development (ABCD) Study has collected data from 11,880 children ages 9-10 across 21 U.S. research sites, as the largest long-term study of brain development and child health; and the Healthy Brain and Child Development (HBCD) Study will enroll 7,500 pregnant women across 25 research sites and follow them from pregnancy through early childhood, as the largest long-term study of early brain and child development in the U.S. Both studies aim to reflect the sociodemographic diversity of the target population to enable characterization of natural variability and trajectories. Without probability sampling as the touchstone for randomization-based inferences, the data quality and analysis validity require rigorous evaluations and potentially rely on untestable assumptions. The data collection process also presents various challenges during practical operation.

In this talk, I look into both inference and design schemes to study the impact of data collection on population science. First, using the ABCD study as an example of secondary data analysis, I discuss inference approaches focusing on multilevel regression and poststratification for population generalizability and latent subgroup detection for population heterogeneity in brain activity and association studies. Second, I introduce the HBCD study design. HBCD also aims to include individuals demographically and behaviorally similar to those in the substance exposure group, but without exposure, to enable valid causal inference in a non-experimental study design. I discuss our proposed weighting, matching, and modeling strategies to leverage analysis goals to inform the design and dashboard monitoring for adaptive sample enrollment.

Bio

Yajuan Si is a Research Associate Professor in the Institute for Social Research at the University of Michigan. Dr Si’s research lies in cutting-edge methodology development in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, missing data analysis, confidentiality protection involving the creation and analysis of synthetic datasets, and causal inference with observational data.

Michigan Program in Survey and Data Science (MPSDS)
The University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.

Summer Institute in Survey Research Techniques (SISRT)
The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.

The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business, public health, natural resources, law, medicine, nursing, social work, and many other domains of study.

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Lecture / Discussion Fri, 20 Jan 2023 14:51:50 -0500 2023-01-20T14:00:00-05:00 2023-01-20T15:00:00-05:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer