Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. Unprecedented: The Expansion of the Social Safety Net During the COVID Era and Its Impacts on Poverty and Hardship (September 29, 2021 11:00am) https://events.umich.edu/event/84891 84891-21625249@events.umich.edu Event Begins: Wednesday, September 29, 2021 11:00am
Location: Institute For Social Research
Organized By: Institute for Social Research

ISR Insights Speaker Series
Unprecedented: The Expansion of the Social Safety Net During the COVID Era and Its Impacts on Poverty and Hardship
Wednesday, September 29 at 11am EDT, ISR Thompson Rm 1430 and online: https://umich.zoom.us/j/94299595467

Speaker: H. Luke Shaefer (Director of Poverty Solutions; Hermann and Amalie Kohn Professor of Social Justice and Social Polic; Professor of Public Policy; Professor of Social Work; Faculty Associate at PSC & SRC)

A major economic crisis accompanied the onset of the COVID-19 pandemic, but in response the federal government mounted the largest and most comprehensive expansion of the social safety net in modern times. In this talk, H. Luke Shaefer will review research on the impacts of this safety net expansion, and where the nation goes from here.

This webinar is part of a continuing series focusing on the research happening at ISR. If there is a topic you would like to see featured or have an idea for a future presentation, please email abeattie@umich.edu. This talk is being recorded and will be shared widely.

]]>
Lecture / Discussion Fri, 10 Sep 2021 15:58:40 -0400 2021-09-29T11:00:00-04:00 2021-09-29T12:00:00-04:00 Institute For Social Research Institute for Social Research Lecture / Discussion event flyer
Measures of Mental Health - Using Life History Calendars to Improve Measurement of Lifetime Experience With Trauma and Psychiatric Disorders: The Chitwan Valley Family Study in Nepal (September 29, 2021 2:00pm) https://events.umich.edu/event/85328 85328-21626240@events.umich.edu Event Begins: Wednesday, September 29, 2021 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 2: Measures of Mental Health - Using Life History Calendars to Improve Measurement of Lifetime Experience With Trauma and Psychiatric Disorders: The Chitwan Valley Family Study in Nepal

Wednesday, September 29, 2021
2-3pm EDT
Presenters: William Axinn and Stephanie Chardoul

This webinar will describe the work to create a Nepal-specific Composite International Diagnostic Interview and the application of life history calendars to improve measurements of individual exposures to potentially traumatic experiences and psychiatric disorders. Results from initial analyses of these new CVFS measures will be used to illustrate the potential of this approach to advance population health research. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJwpcuCgrDkoGNXE4HjrkkEHwVmbZPMq3F0b

]]>
Presentation Tue, 17 Aug 2021 12:11:55 -0400 2021-09-29T14:00:00-04:00 2021-09-29T15:00:00-04:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
Linking Data within the CVFS and Beyond (October 13, 2021 2:00pm) https://events.umich.edu/event/85329 85329-21626241@events.umich.edu Event Begins: Wednesday, October 13, 2021 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 3: Linking Data within the CVFS and Beyond

Wednesday, October 13, 2021
2-3pm EDT
Presenter: Emily Treleaven and Adrienne Epstein

This webinar will give an overview of how to link observations across CVFS files, link individuals to households and neighborhoods, and link external data sources to CVFS. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJYld-yoqDorGtBK9EJBUYvQIBWBKTJUlhn1

]]>
Presentation Tue, 17 Aug 2021 12:10:17 -0400 2021-10-13T14:00:00-04:00 2021-10-13T15:00:00-04:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
Is the Phone Mightier than the Virus? Cell Phone Access and Epidemic Containment Efforts (October 25, 2021 12:00pm) https://events.umich.edu/event/88052 88052-21648952@events.umich.edu Event Begins: Monday, October 25, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This talk examines the impact of mobile phone access on the containment of an epidemic. Speaker Elisa Maffioli et al. study this question in the context of the 2014 Ebola Virus Disease (EVD) outbreak in Liberia. They found that having access to cell phone coverage leads to a 10.8 percentage point reduction in the likelihood that a village has an EVD case. Results from this novel survey collected following the epidemic suggest that this is mostly explained by cellphone access facilitating emergency care provision rather than improving access to outbreak-related information.

Dr. Maffioli is an Assistant Professor at the Department of Health Management and Policy, at the University of Michigan School of Public Health. Her research is in development economics, health economics and political economy, with a focus on infectious diseases, maternal and child health, and nutrition in lower income countries. She is currently working in Liberia, Myanmar, Brazil, Mozambique and Nigeria, and has also conducted research in Lesotho, Kenya and India.


Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

https://www.psc.isr.umich.edu/events/brown-bag/

]]>
Lecture / Discussion Fri, 08 Oct 2021 12:02:51 -0400 2021-10-25T12:00:00-04:00 2021-10-25T13:10:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion event flyer
Innovation in Tracking and Collecting Migrant Data (October 27, 2021 2:00pm) https://events.umich.edu/event/85330 85330-21626242@events.umich.edu Event Begins: Wednesday, October 27, 2021 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 4: Innovation in Tracking and Collecting Migrant Data
Wednesday, October 27, 2021
2-3pm EDT
Presenter: Dirgha Ghimire

This webinar will provide an overview of CVFS design for tracking migrants and innovation in collecting migrant data along with empirical findings investigating consequences of international migration. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJEtcu-trzsjGdW33jgiYGmw1_x0dEER9CZO

]]>
Presentation Tue, 17 Aug 2021 12:15:26 -0400 2021-10-27T14:00:00-04:00 2021-10-27T15:00:00-04:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
Consequences of Receiving Versus Being Denied a Wanted Abortion (November 1, 2021 12:00pm) https://events.umich.edu/event/86164 86164-21631757@events.umich.edu Event Begins: Monday, November 1, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Michigan Population Studies Center Brown Bag seminars presents:

Diana Greene Foster will discuss the context and findings of The Turnaway Study. The Turnaway Study answers the question, Does abortion hurt women? and the converse, What are the harms when women are unable to get a wanted abortion? Dr. Foster will review the challenges of studying abortion and what has happened in the absence of rigorous data. She will describe the study design of the Turnaway Study and present its major findings about women’s mental health, physical health and the wellbeing of their children. She will describe the reasons people give for seeking to end an unwanted pregnancy and what that tells us about whether one can trust women’s decision-making abilities around pregnancy.

Diana Greene Foster, PhD, is a demographer who uses quantitative models and analyses to evaluate the effectiveness of family planning policies and the effect of unwanted pregnancy on women’s lives. She is a professor at the University of California, San Francisco and Director of Research at the UCSF ANSIRH Program. She led the Turnaway Study, a nationwide longitudinal prospective study of the health and well-being of women who seek abortion including both women who do and do not receive the abortion in the United States. She is currently collaborating with scientists on an NIH-funded Turnaway Study in Nepal. Dr. Foster received her undergraduate degree from UC Berkeley, her MA and PhD in Demography and Public Policy from Princeton University. She is the author of the 2020 book, The Turnaway Study: Ten Years, a Thousand Women and the Consequences of Having – or Being Denied – an Abortion. She is the recipient of the 2021 Harriet B. Presser Award for the study of gender and demography from the Population Association of America.

Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

https://www.psc.isr.umich.edu/events/brown-bag/

]]>
Workshop / Seminar Mon, 25 Oct 2021 10:46:51 -0400 2021-11-01T12:00:00-04:00 2021-11-01T13:00:00-04:00 Off Campus Location Institute for Social Research Workshop / Seminar Diana Greene Foster
Measuring Child Exposure to the U.S. Justice System: Evidence from Longitudinal Links between Survey and Administrative Data (November 8, 2021 12:00pm) https://events.umich.edu/event/88675 88675-21656594@events.umich.edu Event Begins: Monday, November 8, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Michigan Population Studies Center Brown Bag seminars presents Michael Mueller-Smith who will discuss, "Measuring Child Exposure to the U.S. Justice System: Evidence from Longitudinal Links between Survey and Administrative Data."

Mike Mueller-Smith is an Assistant Professor in the Department of Economics at the University of Michigan and Faculty Associate at the Population Studies Center. His research focuses on measuring the scope and prevalence of the criminal justice system in the U.S. as well as its broadly defined impact on the population. He is the Director of the Criminal Justice Administrative Records System (CJARS), a new data infrastructure project joint with the U.S. Census Bureau that seeks to collect and link extensive amounts of criminal justice microdata with social and economic data held at the Census Bureau. He received his Ph.D. in Economics from Columbia University in 2015, and completed a NICHD Post-Doctoral Fellowship at Michigan’s Population Studies Center between 2015-2017.

Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

https://www.psc.isr.umich.edu/events/brown-bag/

]]>
Workshop / Seminar Tue, 02 Nov 2021 14:44:30 -0400 2021-11-08T12:00:00-05:00 2021-11-08T13:00:00-05:00 Off Campus Location Institute for Social Research Workshop / Seminar Measuring Child Exposure to the U.S. Justice System (poster)
Representative Research: Assessing Diversity in Online Samples (November 10, 2021 12:00pm) https://events.umich.edu/event/86292 86292-21640719@events.umich.edu Event Begins: Wednesday, November 10, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Representative Research: Assessing Diversity in Online Samples
Wednesday, November 10, noon to 1:10pm Eastern via Zoom

Speaker: Frances Barlas
Vice President, Research Methods at Ipsos Public Affairs

In 2020, we saw a broader awakening to the continued systemic racism throughout all aspects of our society and heard renewed calls for racial justice. For the survey and market research industries, this has renewed questions about how well our industry does to ensure that our public opinion research captures the full set of diverse voices that make up the United States. These questions were reinforced in the wake of the 2020 election with the scrutiny faced by the polling industry and the role that voters of color played in the election. In this talk, we’ll consider how well online samples represent people of color in the United States. Results from studies that use both KnowledgePanel – a probability-based online panel – and non-probability online samples will be shared. We’ll discuss some strategies for ways to improve our sample quality.

Dr. Frances Barlas is a Senior Vice President and the lead KnowledgePanel Methodologist for Ipsos. She has worked in the survey and market research industries for 20 years. In her current role, she is charged with overseeing and advancing the statistical integrity and operational efficiency of KnowledgePanel, the largest probability-based panel in the US, and other Ipsos research assets. Her research interests focus on survey measurement and online survey data quality. She holds a Ph.D. in Sociology from Temple University.

]]>
Lecture / Discussion Fri, 29 Oct 2021 16:18:12 -0400 2021-11-10T12:00:00-05:00 2021-11-10T13:10:00-05:00 Off Campus Location Institute for Social Research Lecture / Discussion poster
Health Policy Research Using CVFS/ISER-N Infrastructure (November 10, 2021 2:00pm) https://events.umich.edu/event/85337 85337-21626250@events.umich.edu Event Begins: Wednesday, November 10, 2021 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 5: Health Policy Research Using CVFS/ISER-N Infrastructure
Wednesday, November 10, 2021
2-3pm EDT
Presenter: Yubraj Acharya

The webinar is targeted to doctoral students and junior researchers in development economics/health economics intending to conduct their research using the CVFS/ISER infrastructure. I will share experience from a recent field experiment among health workers, focusing on resources on research administration available at ISER. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJMrc-upqj4pHtKxK1qRZWxg3TDlfFgZn_xM

]]>
Presentation Tue, 17 Aug 2021 14:30:12 -0400 2021-11-10T14:00:00-05:00 2021-11-10T15:00:00-05:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
Science Communications in a Social Media Crisis: Lessons Learned from Dear Pandemic (November 15, 2021 12:00pm) https://events.umich.edu/event/87140 87140-21639086@events.umich.edu Event Begins: Monday, November 15, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

A PSC Brown Bag seminar.

Dr. Malia Jones is an interdisciplinary researcher working at the intersection of infectious disease and social epidemiology, demography, and geography. She will discuss Science Communications in a Social Media Crisis: Lessons Learned from Dear Pandemic.

She is an Associate Scientist in Health Geography at the University of Wisconsin-Madison Applied Population Laboratory, where her work focuses on how the places we spend time affect our health, especially spatial clustering of infectious disease and vaccines. She was also a co-founder and inaugural Editor-in-Chief of Dear Pandemic. Over the past year, Dr. Jones has emerged as a national leader in pandemic-related science communications. She is developing a research program that aims to understand how social media, trust, and science communication intersect.

Dr. Jones' current research work is funded by a K01 Career Development Award from the National Institutes for Allergies and Infectious Diseases (NIAID), a grant from the Centers for Disease Control and Prevention, and the Wisconsin Department of Health Services.

She received an MPH and a PhD in Public Health at UCLA and completed postdoctoral training at the University of Southern California’s Keck School of Medicine, Department of Preventive Medicine. Her work has been published in leading scientific journals such as the American Journal of Public Health, Health Affairs, and Demography.

https://DearPandemic.org/

Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

https://www.psc.isr.umich.edu/events/brown-bag/

]]>
Workshop / Seminar Mon, 08 Nov 2021 14:28:04 -0500 2021-11-15T12:00:00-05:00 2021-11-15T13:00:00-05:00 Off Campus Location Institute for Social Research Workshop / Seminar flyer
The Gender Gap in Summer Work Interruptions (November 29, 2021 12:00pm) https://events.umich.edu/event/85802 85802-21629098@events.umich.edu Event Begins: Monday, November 29, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

A PSC Brown Bag seminar.

Nov 29, 2021.

Dr. Melanie Wasserman, Assistant Professor of Economics at the UCLA Anderson School of Management, will discuss her work on "The Gender Gap in Summer Work Interruptions".

Dr. Melanie Wasserman's research investigates the mechanisms underlying gender differences in labor market and educational outcomes. She was a postdoctoral fellow at the Michigan Population Studies Center after completing her Ph.D. in economics at MIT.

https://www.melaniewasserman.com/

Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

https://www.psc.isr.umich.edu/events/brown-bag/

]]>
Workshop / Seminar Fri, 22 Oct 2021 10:45:56 -0400 2021-11-29T12:00:00-05:00 2021-11-29T13:00:00-05:00 Off Campus Location Institute for Social Research Workshop / Seminar Flyer for Brown Bag seminar
The Gender Gap in Summer Work Interruptions (November 29, 2021 12:00pm) https://events.umich.edu/event/86412 86412-21634272@events.umich.edu Event Begins: Monday, November 29, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

The Gender Gap in Summer Work Interruptions
Monday, November 29
12-1:10 pm ET via zoom
Speaker: Melanie Wasserman (University of California, Los Angeles)

Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

Dr. Melanie Wasserman, Assistant Professor of Economics at the UCLA Anderson School of Management, will discuss her work on "The Gender Gap in Summer Work Interruptions".

Dr. Melanie Wasserman's research investigates the mechanisms underlying gender differences in labor market and educational outcomes. She was a postdoctoral fellow at the Michigan Population Studies Center after completing her Ph.D. in economics at MIT.

https://www.melaniewasserman.com/

Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

https://www.psc.isr.umich.edu/events/brown-bag/

]]>
Lecture / Discussion Tue, 02 Nov 2021 13:37:45 -0400 2021-11-29T12:00:00-05:00 2021-11-29T13:10:00-05:00 Off Campus Location Institute for Social Research Lecture / Discussion flyer
Genetic Study Design in CVFS (December 1, 2021 2:00pm) https://events.umich.edu/event/85338 85338-21626251@events.umich.edu Event Begins: Wednesday, December 1, 2021 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 6: Genetic Study Design in CVFS
Wednesday, December 1, 2021
2-3pm EDT
Presenter: Colter Mitchell

This webinar will provide an overview of the design of the genetic data in CVFS, planned research activities, and potential uses. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJctdOChrj4rGN3gN0TKhn3r6F1bAMYUyA3A

]]>
Presentation Tue, 17 Aug 2021 14:33:56 -0400 2021-12-01T14:00:00-05:00 2021-12-01T15:00:00-05:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
Equity & Inclusion in Accessible Survey Design (December 8, 2021 12:00pm) https://events.umich.edu/event/86452 86452-21640720@events.umich.edu Event Begins: Wednesday, December 8, 2021 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Equity & Inclusion in Accessible Survey Design
Wednesday, December 8, noon to 1:10pm ET via Zoom (link to come)
Speaker: Scott Crawford (Founder and Chief Vision Officer, SoundRocket)

As we work to adapt research designs to make use of new technologies (web and smart devices), it is also important to consider how study design and survey design may impact those who rely on assistive technology. Sections 508 (covering use of accessible information and communication technology) and 501(addressing reasonable accommodation) of the Rehabilitation Act of 1973 compliance standards have been around for a long time—but the survey research industry has often taken the path providing reasonable (non-technological) accommodations for study participants. These often involve alternate modes of data collection, but rarely provide a truly equitable solution for study participation. If a web-based survey is not compliant with assistive technologies, the participant may be offered the option of completing a survey with an interviewer. Survey methodologists know well that introducing a live human interaction may change how participants respond—especially if the study involves sensitive topics. Imagine a workplace survey on Diversity, Equity, and Inclusion where a sight-impaired employee is asked to answer questions about how they are treated in their workplace, but they are required to answer these questions through an interviewer, and not privately via a website. Not only is this request not equitable for the employee (fully sighted employees get to respond more privately), it can also bias the results if the participant is not honest about the struggle for fear of receiving backlash from their employer if the interviewer passed along their frustrations. In the act of being denied equitable participation, future decisions will then be made on potentially faulty results about the experience of such people.

In this presentation, I will focus on developing an equitable research design, partially through considering the overall study—not just the technology itself. But we will also share experiences in the development of a highly accessible web-based survey that is compliant with screen reading technology (screen readers, mouse input grids, voice, keyboard navigation, etc.). I will present experimental, anecdotal, and descriptive experiences with accessible web-based surveys and research designs in higher education student, faculty, and staff surveys conducted on the topic of Diversity, Equity, and Inclusion. Our results will be directly relevant for inclusion and equity in these settings as well as some surprising unintended positive consequences of some of these design decisions. Lastly, I will also share some next steps for where the field may go in continuing to improve in these areas.

]]>
Lecture / Discussion Fri, 19 Nov 2021 14:31:55 -0500 2021-12-08T12:00:00-05:00 2021-12-08T13:10:00-05:00 Off Campus Location Institute for Social Research Lecture / Discussion event flyer
Discussion of High Impact Research Topics in Global Population Research (December 15, 2021 2:00pm) https://events.umich.edu/event/85339 85339-21626252@events.umich.edu Event Begins: Wednesday, December 15, 2021 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 7: Discussion of High Impact Research Topics in Global Population Research
Wednesday, December 15, 2021
2-3pm EDT
Presenter: SPE Program Team

This webinar will feature investigators discussing high priority topics for new global population health research. Discussion will include the potential of CVFS being used to address these topics, as well as other global population health data resources. We will also discuss the potential of proposals to NIH for funding to launch new research on these topics. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJUpcO2rrz4vGdH_MismMAIU7j0yKB5qlbuc

]]>
Lecture / Discussion Tue, 17 Aug 2021 14:38:15 -0400 2021-12-15T14:00:00-05:00 2021-12-15T15:00:00-05:00 Off Campus Location Institute for Social Research Lecture / Discussion Nepal mountains
Child Health Data in the CVFS (January 12, 2022 2:00pm) https://events.umich.edu/event/85340 85340-21626253@events.umich.edu Event Begins: Wednesday, January 12, 2022 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 8: Child Health Data in the CVFS
Wednesday, January 12, 2022
2-3pm EDT
Presenter: Emily Treleaven

This webinar will give an overview of previous data collections of child health measures, child health outcomes among the CVFS sample, and compare child health indicators in the CVFS sample to the broader population of Nepal using Demographic and Health Survey data. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJMqd-uprzIvHtapbdIOc1dQtiZmplrODd9k

]]>
Presentation Tue, 17 Aug 2021 14:42:30 -0400 2022-01-12T14:00:00-05:00 2022-01-12T15:00:00-05:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
New Deal policy and the racialization of homeownership (January 24, 2022 12:00pm) https://events.umich.edu/event/90734 90734-21673479@events.umich.edu Event Begins: Monday, January 24, 2022 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

New Deal policy and the racialization of homeownership
by Jacob William Faber, New York University

Bio:
Jacob William Faber is an Associate Professor at New York University's Robert F. Wagner School of Public Service and holds a joint appointment in NYU's Sociology Department. His research and teaching focuses on spatial inequality. He leverages observational and experimental methods to study the mechanisms responsible for sorting individuals across space and how the distribution of people by race and class interacts with political, social, and ecological systems to create and sustain economic disparities. While there is a rich literature exploring the geography of opportunity, there remain many unsettled questions about the causes of segregation and its effects on the residents of urban ghettos, wealthy suburbs, and the diverse set of places in between.

Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

]]>
Lecture / Discussion Tue, 18 Jan 2022 13:38:39 -0500 2022-01-24T12:00:00-05:00 2022-01-24T13:00:00-05:00 Off Campus Location Institute for Social Research Lecture / Discussion event flyer
CVFS COVID-19 2021 Pilot (January 26, 2022 2:00pm) https://events.umich.edu/event/85341 85341-21626254@events.umich.edu Event Begins: Wednesday, January 26, 2022 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 9: CVFS COVID-19 2021 Pilot
Wednesday, January 26, 2022
2-3pm EDT
Presenter: Sabrina Hermosilla

This webinar will review the methods and primary findings from the COVID-19 CVFS Pilot Study implemented in the first quarter of 2021. This study explored the physical, social, and economic disruptions caused by COVID-19 prevention measures within households of the CVFS. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJYqcuCgpz8jGtNqH0O03W4w1QbQmBQAS1ph

]]>
Presentation Tue, 17 Aug 2021 14:47:13 -0400 2022-01-26T14:00:00-05:00 2022-01-26T15:00:00-05:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
The Scars of Life Course Trauma on the Immune System (January 31, 2022 12:00pm) https://events.umich.edu/event/90732 90732-21673478@events.umich.edu Event Begins: Monday, January 31, 2022 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

The Scars of Life Course Trauma on the Immune System
by Grace Noppert

Monday, January 31
12-1:10 pm ET via Zoom

Abstract:
We are currently observing an unprecedented rise in childhood trauma from COVID-19—specifically related to the loss and disruption of caregiving. Yet, we know little about the impact or persistence of early life trauma on later life immune function. Using nationally representative data on older adults from the U.S. Health and Retirement Study, we examined the association between experiencing parental death or parental separation before the age of 16 years and four markers of immune function in late life: high sensitive C-reactive Protein (CRP), Interleukin-6 (IL-6), soluble Tumor Necrosis Factor (sTNFR), and immune response to cytomegalovirus (CMV) measured by the level of Immunoglobulin G (IgG). We also examined racial and ethnic differences in these associations. We found that racialized minority individuals were more likely to experience parental death/separation in early life compared to non-Hispanic Whites and had poorer immune function in later life. We also found consistent associations between parental death or separation and poor immune function in later life measured by both CMV and IL-6 across all race/ethnic subgroups. This presentation will discuss the growing body of evidence that early life trauma becomes embedded in the architecture of the immune system with consequences for health throughout the life course.

Bio:
Dr. Noppert's work lies at the intersection of biology, sociology, and epidemiology. Her work seeks to explain how social processes become biologically embedded with implications for health across the life course. She began her work as an infectious disease epidemiologist examining health disparities in tuberculosis (TB) in the U.S. Since then, her work has focused on uncovering the social underpinning of a range of infectious diseases, both established (e.g., TB) and emergent (e.g., SARS-CoV-2). Her current work focuses on sociobiological exposures such as persistent viral infections (e.g., CMV, HSV-1, etc.) and how they intersect with the immune system. Understanding the link between social factors, infections, and immune function may hold clues to explaining and disrupting persistent health inequities across the life course.

Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

]]>
Lecture / Discussion Tue, 18 Jan 2022 13:39:42 -0500 2022-01-31T12:00:00-05:00 2022-01-31T13:00:00-05:00 Off Campus Location Institute for Social Research Lecture / Discussion event flyer
Studying Women’s Employment in Chitwan: Seasonal Work History Calendars (February 9, 2022 2:00pm) https://events.umich.edu/event/85342 85342-21626255@events.umich.edu Event Begins: Wednesday, February 9, 2022 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 10: Studying Women’s Employment in Chitwan: Seasonal Work History Calendars
Wednesday, February 9, 2022
2-3pm EDT
Presenter: Sarah Brauner-Otto

This webinar will describe the process of developing the seasonal work history calendars used to study women’s employment in the CVFS and will provide some illustrations of how to analyze these data alone and in combination with other CVFS components. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJcpd-yhqDssGdJq-kASxS6dz-vJ3YTBhr1Q

]]>
Presentation Tue, 17 Aug 2021 14:51:52 -0400 2022-02-09T14:00:00-05:00 2022-02-09T15:00:00-05:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
New CVFS Data on the Transition to Adulthood: Web Panel on Sensitive Topics and Hair-based Cortisol to Measure Stress (February 23, 2022 2:00pm) https://events.umich.edu/event/85343 85343-21626256@events.umich.edu Event Begins: Wednesday, February 23, 2022 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 11:New CVFS Data on the Transition to Adulthood: Web Panel on Sensitive Topics and Hair-based Cortisol to Measure Stress
Wednesday, February 23, 2022
2-3pm EDT
Presenters: William Axinn, Dirgha Ghimire, Heather Gatny, Sabrina Hermosilla

During the 2021-2022 year CVFS is launching two innovative approaches to measurement of key experiences in the transition to adulthood. First, with support from an NICHD R01 to study the consequences of parental mental disorders on their children’s transitions to adulthood, CVFS is launching a new web-based panel survey of potentially sensitive topics, including sex, contraception, sexual assault, alcohol use, and substance use. Second, with support from an NICHD R21 CVFS will launch a large-scale collection and analysis of young adult respondent’s hair samples to measure biological indicators of chronic psychological stress.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJAofuGsrD8vGNaAKLUxm-Be3aVG90WSOgS1

]]>
Presentation Tue, 17 Aug 2021 14:56:09 -0400 2022-02-23T14:00:00-05:00 2022-02-23T15:00:00-05:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
The Trouble with Passion: How Searching for Fulfillment at Work Fosters Inequality (February 24, 2022 12:00pm) https://events.umich.edu/event/91307 91307-21677932@events.umich.edu Event Begins: Thursday, February 24, 2022 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

ISR Insights Speaker Series
The Trouble with Passion: How Searching for Fulfillment at Work Fosters Inequality
Thursday, February 24 at 12pm ET via Zoom

Speaker: Erin Cech, Associate Professor of Sociology, University of Michigan; Faculty Associate, Population Studies Center

“Follow your passion” is a popular mantra for career decision-making in the United States. In this talk, Cech will discuss her research on this ubiquitous cultural narrative that she call the “passion principle.” The passion principle is rooted in tensions between postindustrial capitalism and cultural norms of self-expression and is compelling to college-educated career aspirants and workers because passion is presumed to motivate the hard work required for success while providing opportunities for meaning and self-expression. Although passion-seeking seems like a promising option for individuals hoping to avoid drudgery in their labor force participation, she argues that the passion principle has a dark side: it reinforces socio-economic disadvantages and occupational segregation among career aspirants and workers in the aggregate and helps reproduce an exploited, overworked white-collar labor force. These findings have implications for cultural notions of “good work” popular in higher education and the US workforce and raises broader questions about what it means when becoming a dedicated labor force participant feels like an act of self-fulfillment.

]]>
Lecture / Discussion Thu, 17 Feb 2022 12:45:30 -0500 2022-02-24T12:00:00-05:00 2022-02-24T13:00:00-05:00 Off Campus Location Institute for Social Research Lecture / Discussion event flyer
Potential and Pitfalls of Polygenic Scores For Social Demographic Research (March 9, 2022 2:00pm) https://events.umich.edu/event/85344 85344-21626257@events.umich.edu Event Begins: Wednesday, March 9, 2022 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 12: Potential and Pitfalls of Polygenic Scores For Social Demographic Research
Wednesday, March 9, 2022
2-3pm EDT
Presenter: Colter Mitchell

This webinar will provide an overview of the methodology around the construction of polygenic scores and their applications in demographic research. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJwqde2tpzovGt21ffMiK7ndNIVGOovGaCqi

]]>
Presentation Tue, 17 Aug 2021 15:01:18 -0400 2022-03-09T14:00:00-05:00 2022-03-09T15:00:00-05:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
Egalitarian Beliefs & Activity Spaces in Nepal (March 23, 2022 2:00pm) https://events.umich.edu/event/85345 85345-21626258@events.umich.edu Event Begins: Wednesday, March 23, 2022 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 13: Egalitarian Beliefs & Activity Spaces in Nepal
Wednesday, March 23, 2022
2-3pm EDT
Presenter: Anna E. Shetler

This webinar will present a study of how individual egalitarian beliefs about caste and gender correlate with shared activity spaces in the Chitwan Valley. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJwpfuGhpjIoHdan3NMZVs3FUbqyCfTWduUH

]]>
Presentation Tue, 17 Aug 2021 15:05:28 -0400 2022-03-23T14:00:00-04:00 2022-03-23T15:00:00-04:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
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/

]]>
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
Giving Rare Populations a Voice in Public Opinion Research: Pew Research Center’s Strategies for Surveying Muslim Americans, Jewish Americans, and Other Populations (April 6, 2022 12:00pm) https://events.umich.edu/event/92209 92209-21688189@events.umich.edu Event Begins: Wednesday, April 6, 2022 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

ISR Inclusive Research Matters
Giving Rare Populations a Voice in Public Opinion Research: Pew Research Center’s Strategies for Surveying Muslim Americans, Jewish Americans, and Other Populations
April 6, 2022, noon ET via Zoom

Speaker: Courtney Kennedy, Director of Survey Research at Pew Research Center

Abstract:

A typical public opinion survey cannot provide reliable insights into the attitudes and experiences of relatively small and diverse religious groups, such as adults identifying as Jewish or Muslim. Not only are the sample sizes too small, but adults who speak languages such as Russian, Arabic, or Farsi (and not English) are excluded from interviewing. This presentation discusses how Pew Research Center has sought to address this research gap by fielding large, multilingual probability-based surveys of special populations. Examples include the Center’s 2017 Survey of Muslim Americans and the 2020 Survey of Jewish Americans. These studies present numerous challenges in sampling, recruitment, crafting appropriate questions, and weighting. The presentation will also discuss the Center’s methods for studying racial and ethnic populations with the goal of reporting on diversity within these populations, as opposed to treated them as monolithic groups.

Bio:

Courtney Kennedy is director of survey research at Pew Research Center. Her team is responsible for the design of the Center’s U.S. surveys and maintenance of the American Trends Panel. Kennedy conducts experimental research to improve the accuracy of public opinion polls. Her research focuses on nonresponse, weighting, modes of administration and sampling frames. Her work has been published in Public Opinion Quarterly, the Journal of Survey Statistics and Methodology and the Journal of Official Statistics. She has served as a co-author on five American Association for Public Opinion Research (AAPOR) task force reports, including chairing the committee that evaluated polling in the 2016 presidential election. Prior to joining Pew Research Center, Kennedy served as vice president of the advanced methods group at Abt SRBI, where she was responsible for designing complex surveys and assessing data quality. She has served as a statistical consultant for the U.S. Census Bureau’s decennial census and panels convened by the National Academies of Science, Engineering, and Medicine. Kennedy has a doctorate from the University of Michigan and a master’s degree from the University of Maryland, both in survey methodology. She received bachelor’s degrees from the University of Michigan in statistics and political science. Kennedy has served as AAPOR standards chair and conference chair.

]]>
Lecture / Discussion Tue, 22 Feb 2022 09:21:45 -0500 2022-04-06T12:00:00-04:00 2022-04-06T13:10:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion flyer
Native Americans of the Upper Great Lakes: Sociological and Historical Perspectives on Land and Schooling Among the Anishinaabek (April 7, 2022 12:00pm) https://events.umich.edu/event/93434 93434-21704490@events.umich.edu Event Begins: Thursday, April 7, 2022 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

ISR Insights Speaker Series:
"Native Americans of the Upper Great Lakes: Sociological and Historical Perspectives on Land and Schooling Among the Anishinaabek"
Thursday, April 7, noon ET via Zoom

Presenters:
-Arland Thornton, Department of Sociology, Institute for Social Research, and Native American Studies, the University of Michigan
-Eric Hemenway, Anishanaabe/Odawa. Director of Archives and Records, Little Traverse Bay Bands of Odawa Indians, Harbor Springs, Michigan.
-Linda Young-DeMarco, Survey Research Center, Institute for Social Research, University of Michigan
-Alphonse Pitawanakwat, Odawa member of Wiikemkoong First Nation Unceded Territory, Ontario, Canada. Lecturer in American Culture and Native American Studies at the University of Michigan.
-Lindsey Willow Smith, Citizen of the Sault Ste. Marie Tribe of Chippewa Indians, University of Michigan Class of 2022, History and Museum Studies B.A.

Abstract:
In this presentation a team of researchers from the University of Michigan and the Little Traverse Bay Bands of Odawa Indians Archive and Records Department discuss the land and schooling of the Anishinaabek—the Three Fires of the Odawa, Ojibwe, and Potawatomi. Of particular focus is the spread of Euro-American schooling among the Anishinaabek from the early 1800s through 1950. We trace the establishment of schools in the early 1800s and the growth of literacy and school attainment from the 1850s through 1940. In addition to considering schooling levels and trends of the Anishinaabek at the national level, we examine state differences, and focus on one particular group, the Little Traverse Bay Bands of Odawa Indians, who today live in Waganakising—the Land of the Crooked Tree—located in the northwest portion of the lower peninsula of Michigan.

]]>
Lecture / Discussion Tue, 15 Mar 2022 09:21:53 -0400 2022-04-07T12:00:00-04:00 2022-04-07T13:00:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion flyer
The Promise of Inclusivity in Biosocial Research - Lessons from Population-based Studies (April 18, 2022 12:00pm) https://events.umich.edu/event/92210 92210-21688190@events.umich.edu Event Begins: Monday, April 18, 2022 12:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

Inclusive Research Matters Series
The Promise of Inclusivity in Biosocial Research - Lessons from Population-based Studies
April 18, 2022, noon ET via Zoom

Speakers:
- Jessica Faul, Research Associate Professor, SRC, Institute for Social Research
- Colter Mitchell, Research Associate Professor, SRC, Institute for Social Research

]]>
Lecture / Discussion Thu, 10 Feb 2022 14:42:54 -0500 2022-04-18T12:00:00-04:00 2022-04-18T13:10:00-04:00 Off Campus Location Institute for Social Research Lecture / Discussion flyer
Adolescent Health in the CVFS (April 20, 2022 2:00pm) https://events.umich.edu/event/85346 85346-21626259@events.umich.edu Event Begins: Wednesday, April 20, 2022 2:00pm
Location: Off Campus Location
Organized By: Institute for Social Research

This webinar series on the Chitwan Valley Family Study (CVFS) is about global and comparative population research. Sessions include measuring mental health, Covid-19, linking data, genetics, & migrant data.

Webinar 14: Adolescent Health in the CVFS
Wednesday, April 20, 2022
2-3pm EDT
Presenter: Sabrina Hermosilla

This webinar will explore findings related to adolescent health within the CVFS and briefly discuss future lines of inquiry related to the study of individuals during this important life stage. There will be a Q&A session after the presentation.

The webinar will be hosted using Zoom. Registration is required to attend the webinar. Support provided by NICHD (R25 HD101358).

Registration is required for this event: https://umich.zoom.us/meeting/register/tJAsd-ytrzosHdGcEK5nvNZdYJ0jOd4fSiFb

]]>
Presentation Tue, 17 Aug 2021 15:10:44 -0400 2022-04-20T14:00:00-04:00 2022-04-20T15:00:00-04:00 Off Campus Location Institute for Social Research Presentation Nepal mountains
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.

]]>
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
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.

]]>
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.

]]>
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.

]]>
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.

]]>
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.

]]>
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
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.

]]>
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
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.

]]>
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
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
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
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
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
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.

]]>
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
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.

]]>
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
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
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
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
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
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.

]]>
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
PSC Brownbag Series: The multigenerational persistence of immigrant mortality advantages in the United States (September 19, 2022 12:00pm) https://events.umich.edu/event/98979 98979-21797421@events.umich.edu Event Begins: Monday, September 19, 2022 12:00pm
Location: Institute For Social Research
Organized By: Institute for Social Research

"I use new data from the CenSoc project to show that immigrants from many countries not only have an old- age mortality advantage over US natives in the 1st generation, but also in the 2nd generation, and even in later “3+“ generations. I discuss how this changes the way we think about the usual discussions of immigrant health advantages, including behavioral factors, assimilation, and healthy immigrant selection."

Join us on Zoom or live at the Institute for Social Research (Thompson) Room 1430.

]]>
Workshop / Seminar Mon, 19 Sep 2022 08:59:43 -0400 2022-09-19T12:00:00-04:00 2022-09-19T12:50:00-04:00 Institute For Social Research Institute for Social Research Workshop / Seminar PSC Brownbag: Josh Goldstein
PSC Brownbag Series: PSC postdocs (September 26, 2022 12:00pm) https://events.umich.edu/event/99030 99030-21797480@events.umich.edu Event Begins: Monday, September 26, 2022 12:00pm
Location: Institute For Social Research
Organized By: Population Studies Center

Hear from Population Studies Center postdoctoral fellows with updates on their current projects.

]]>
Workshop / Seminar Mon, 19 Sep 2022 15:59:33 -0400 2022-09-26T12:00:00-04:00 2022-09-26T12:50:00-04:00 Institute For Social Research Population Studies Center Workshop / Seminar PSC Brown Bag: Postdocs Introductions and Updates