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        "datetime_modified":"20250924T145336",
        "datetime_start":"20260218T120000",
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        "date_start":"2026-02-18",
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        "event_title":"MPSDS JPSM Seminar Series - Rethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden",
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        "combined_title":"MPSDS JPSM Seminar Series - Rethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden: Sofi Sinozich and Patrick Moynihan - Pew Research Center",
        "event_subtitle":"Sofi Sinozich and Patrick Moynihan - Pew Research Center",
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        "description":"MPSDS JPSM Seminar Series\r\nMPSDS M3 Series\r\n\r\nFebruary 18, 2026\r\n12:00 - 1:00 pm EST\r\nIn person, room 1070 Institute for Social Research, and via Zoom. The Zoom call will be locked 10 minutes are the start of the presentation.\r\n\r\nRethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden\r\n\r\nIn addition to regularly surveying the American public, Pew Research Center fields cross-national public opinion surveys in more than 20 countries annually as part of its Global Attitudes Project (GAP). The Center\u2019s International Methods team focuses on designing, implementing, monitoring, and improving these surveys throughout the year. In this talk, we present two research projects from 2025 in Australia and Sweden.\r\n\r\nMany surveys around the world, across modes and methods, have tended to show a slight left-leaning political bias. Weighting to past vote or party affiliation is a common solution, but these corrections alone may create excessive variance inflation. We faced this problem in our surveys fielded on the mixed-mode Life in Australia probability panel, administered by the Australian National University\u2019s Social Research Centre. To combat this bias, we tested a \u201cvoting-adjusted\u201d sampling approach recommended by our partners at SRC, in parallel with our previous standard stratified sampling design. Taking advantage of panel information and recent Australian elections, the new method incorporates self-reported 2022 vote into individual weights which are used as a measure of size for PPS sampling. After reviewing the technical details behind this approach, we\u2019ll discuss our findings on its impact on variance and substantive estimates compared to the standard design.\r\n\r\nPush-to-web (P2W) designs are gaining traction in Europe as an alternative to costly \u2013 and methodologically challenged \u2013 interviewer-administered approaches. For instance, the European Social Survey announced that by 2027 online and paper self-administered surveys will be their primary means of data collection replacing their traditional face-to-face approach. To better understand this mode and its potential for future waves of GAP, we recently piloted an ABS-style, sequential P2W survey in Sweden to compare with our traditional dual-frame phone design (DFRDD). Our presentation will compare P2W and DFRDD sample outcomes in terms of data quality (such as response rates, response differentiation, survey engagement, and open-ended answer quality), representativeness (versus demographic parameters for gender, education, age and geography) and attitudinal estimates (considering the viability of long-term data trends if mode transitioned in Sweden). The P2W survey included an unconditional incentive experiment as well as a paper questionnaire mailing, allowing us to present findings regarding the value of these design elements. This section of the talk concludes with key takeaways and recommendations for future mode-transition trials. \r\n\r\nSofi Sinozich is a research methodologist in international methods at Pew Research Center. She advises on complex sample design, survey implementation, and data quality assessment for international projects across the Center. Prior to joining the Center, she was a senior research analyst at Langer Research Associates, where she managed and contributed to a wide variety of survey projects, including serving as lead analyst on the ABC News\/Washington Post poll. She holds a master's degree in survey methodology from JPSM and is a member of the WAPOR Professional Standards committee.\r\n\r\nPatrick Moynihan is the associate director of international methods at Pew Research Center. Prior to joining the Center, Patrick was the survey methodologist in the U.S. Department of State\u2019s Office of Opinion Research (INR\/OPN), assistant director of the Program on Survey Research at Harvard University, and senior polling analyst at ABC News. He is a past president of the New England Chapter of the American Association for Public Opinion Research (AAPOR), served on multiple national AAPOR committees, and is currently a member of the Committee on Professional Standards for the World Association for Public Opinion Research. Moynihan received his doctorate in sociology from SUNY Stony Brook.",
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        "datetime_modified":"20260316T122849",
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        "event_title":"MPSDS \/ JPSM Seminar Series: From Survey to SurvAI:  The Promises and Precautions of AI for Survey Research",
        "occurrence_title":"",
        "combined_title":"MPSDS \/ JPSM Seminar Series: From Survey to SurvAI:  The Promises and Precautions of AI for Survey Research: Trent D. Buskirk - Old Dominion University",
        "event_subtitle":"Trent D. Buskirk - Old Dominion University",
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        "datetime_modified":"20260318T154135",
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        "event_title":"MPSDS \/ JPSM Seminar Series - Machine Learning for Inverse Probability Weighting in the American Community Survey",
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        "combined_title":"MPSDS \/ JPSM Seminar Series - Machine Learning for Inverse Probability Weighting in the American Community Survey: Darcy Morris - Center for Statistical Research and Methodology at the U.S. Census Bureau",
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        "id":"148256-21903455",
        "datetime_modified":"20260513T130858",
        "datetime_start":"20260513T100000",
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        "event_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences",
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        "combined_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences: Heidi Guyer - RTI International",
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        "description":"June 1-10, 2026  MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nData Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection, cross-sectional and longitudinal health surveys, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors, such as sleep and diet quality, and the development of chronic health conditions.",
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        "description":"June 1-10, 2026  MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nData Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection, cross-sectional and longitudinal health surveys, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors, such as sleep and diet quality, and the development of chronic health conditions.",
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        "event_title":"June 1-5 Course - Introduction to Qualitative Research Methods",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 1-5, 2026, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research, covering principles of qualitative research, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews, focus groups, and observation \u2013 and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan, Department of Epidemiology, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory\u2019s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1,000 citations - considered high impact scholarship. She received the 2020 Provost\u2019s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years\u2019 experience in the design, conduct, analysis, and publication of qualitative health research. She has authored five textbooks on qualitative research, including: Qualitative Research Methods 2nd edition (2020); Focus Group Discussions (2014), Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https:\/\/sph.emory.edu\/qual-works) training program in 2013 for public health professionals. Her courses, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research, such as using interpreters and translators in qualitative data collection; the effect of using court reporters on data quality; estimating sample size in qualitative studies; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their \u2018Cases in Methodology\u2019 work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP), on \u2018Qualitative Research in Population Studies\u2019 which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums, such as: International Congress of Qualitative Inquiry; International Institute for Qualitative Methods; European Association of Population Studies; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition; Emerson et al (2011) Writing Ethnographic Fieldnotes; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition; Hennink (2014) Focus Group Discussions. Oxford University Press",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 1-5, 2026, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research, covering principles of qualitative research, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews, focus groups, and observation \u2013 and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan, Department of Epidemiology, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory\u2019s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1,000 citations - considered high impact scholarship. She received the 2020 Provost\u2019s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years\u2019 experience in the design, conduct, analysis, and publication of qualitative health research. She has authored five textbooks on qualitative research, including: Qualitative Research Methods 2nd edition (2020); Focus Group Discussions (2014), Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https:\/\/sph.emory.edu\/qual-works) training program in 2013 for public health professionals. Her courses, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research, such as using interpreters and translators in qualitative data collection; the effect of using court reporters on data quality; estimating sample size in qualitative studies; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their \u2018Cases in Methodology\u2019 work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP), on \u2018Qualitative Research in Population Studies\u2019 which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums, such as: International Congress of Qualitative Inquiry; International Institute for Qualitative Methods; European Association of Population Studies; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition; Emerson et al (2011) Writing Ethnographic Fieldnotes; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition; Hennink (2014) Focus Group Discussions. Oxford University Press",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "description":"June 1-5, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content, sample design, weighting, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega, PhD, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM), where she is responsible for integrating communication, outreach, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health, Behavior, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health; institutional and personal factors associated with vulnerability and resilience in aging individuals; and work transitions and their broad effects on health and well-being.",
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        "event_title":"June 1-5 Course - Introduction to Qualitative Research Methods",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 1-5, 2026, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research, covering principles of qualitative research, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews, focus groups, and observation \u2013 and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan, Department of Epidemiology, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory\u2019s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1,000 citations - considered high impact scholarship. She received the 2020 Provost\u2019s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years\u2019 experience in the design, conduct, analysis, and publication of qualitative health research. She has authored five textbooks on qualitative research, including: Qualitative Research Methods 2nd edition (2020); Focus Group Discussions (2014), Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https:\/\/sph.emory.edu\/qual-works) training program in 2013 for public health professionals. Her courses, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research, such as using interpreters and translators in qualitative data collection; the effect of using court reporters on data quality; estimating sample size in qualitative studies; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their \u2018Cases in Methodology\u2019 work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP), on \u2018Qualitative Research in Population Studies\u2019 which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums, such as: International Congress of Qualitative Inquiry; International Institute for Qualitative Methods; European Association of Population Studies; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition; Emerson et al (2011) Writing Ethnographic Fieldnotes; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition; Hennink (2014) Focus Group Discussions. Oxford University Press",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "event_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences",
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        "combined_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences: Heidi Guyer - RTI International",
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        "description":"June 1-10, 2026  MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nData Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection, cross-sectional and longitudinal health surveys, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors, such as sleep and diet quality, and the development of chronic health conditions.",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 1-5, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content, sample design, weighting, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega, PhD, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM), where she is responsible for integrating communication, outreach, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health, Behavior, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health; institutional and personal factors associated with vulnerability and resilience in aging individuals; and work transitions and their broad effects on health and well-being.",
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        "event_title":"June 1-5 Course - Introduction to Qualitative Research Methods",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 1-5, 2026, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research, covering principles of qualitative research, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews, focus groups, and observation \u2013 and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan, Department of Epidemiology, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory\u2019s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1,000 citations - considered high impact scholarship. She received the 2020 Provost\u2019s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years\u2019 experience in the design, conduct, analysis, and publication of qualitative health research. She has authored five textbooks on qualitative research, including: Qualitative Research Methods 2nd edition (2020); Focus Group Discussions (2014), Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https:\/\/sph.emory.edu\/qual-works) training program in 2013 for public health professionals. Her courses, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research, such as using interpreters and translators in qualitative data collection; the effect of using court reporters on data quality; estimating sample size in qualitative studies; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their \u2018Cases in Methodology\u2019 work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP), on \u2018Qualitative Research in Population Studies\u2019 which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums, such as: International Congress of Qualitative Inquiry; International Institute for Qualitative Methods; European Association of Population Studies; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition; Emerson et al (2011) Writing Ethnographic Fieldnotes; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition; Hennink (2014) Focus Group Discussions. Oxford University Press",
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        "datetime_modified":"20260513T130729",
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        "event_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "event_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences",
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        "combined_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences: Heidi Guyer - RTI International",
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        "description":"June 1-10, 2026  MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nData Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection, cross-sectional and longitudinal health surveys, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors, such as sleep and diet quality, and the development of chronic health conditions.",
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        "event_title":"June 1-5 Course - Introduction to Qualitative Research Methods",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "description":"June 1-5, 2026, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research, covering principles of qualitative research, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews, focus groups, and observation \u2013 and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan, Department of Epidemiology, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory\u2019s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1,000 citations - considered high impact scholarship. She received the 2020 Provost\u2019s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years\u2019 experience in the design, conduct, analysis, and publication of qualitative health research. She has authored five textbooks on qualitative research, including: Qualitative Research Methods 2nd edition (2020); Focus Group Discussions (2014), Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https:\/\/sph.emory.edu\/qual-works) training program in 2013 for public health professionals. Her courses, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research, such as using interpreters and translators in qualitative data collection; the effect of using court reporters on data quality; estimating sample size in qualitative studies; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their \u2018Cases in Methodology\u2019 work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP), on \u2018Qualitative Research in Population Studies\u2019 which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums, such as: International Congress of Qualitative Inquiry; International Institute for Qualitative Methods; European Association of Population Studies; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition; Emerson et al (2011) Writing Ethnographic Fieldnotes; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition; Hennink (2014) Focus Group Discussions. Oxford University Press",
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        "event_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "event_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences",
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        "description":"June 1-10, 2026  MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nData Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection, cross-sectional and longitudinal health surveys, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors, such as sleep and diet quality, and the development of chronic health conditions.",
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        "combined_title":"June 1-5, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop: Amanda Sonnega -  Institute for Social Research, University of Michigan",
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        "description":"June 1-5, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content, sample design, weighting, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega, PhD, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM), where she is responsible for integrating communication, outreach, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health, Behavior, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health; institutional and personal factors associated with vulnerability and resilience in aging individuals; and work transitions and their broad effects on health and well-being.",
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        "description":"June 1-10, 2026  MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nData Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection, cross-sectional and longitudinal health surveys, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors, such as sleep and diet quality, and the development of chronic health conditions.",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "event_title":"June 1-5 Course - Introduction to Qualitative Research Methods",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "event_title":"June 1-5, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop",
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        "combined_title":"June 1-5, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop: Amanda Sonnega -  Institute for Social Research, University of Michigan",
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        "description":"June 1-5, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content, sample design, weighting, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega, PhD, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM), where she is responsible for integrating communication, outreach, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health, Behavior, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health; institutional and personal factors associated with vulnerability and resilience in aging individuals; and work transitions and their broad effects on health and well-being.",
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        "event_title":"June 1-5 Course - Introduction to Qualitative Research Methods",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 1-5, 2026, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research, covering principles of qualitative research, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews, focus groups, and observation \u2013 and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan, Department of Epidemiology, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory\u2019s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1,000 citations - considered high impact scholarship. She received the 2020 Provost\u2019s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years\u2019 experience in the design, conduct, analysis, and publication of qualitative health research. She has authored five textbooks on qualitative research, including: Qualitative Research Methods 2nd edition (2020); Focus Group Discussions (2014), Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https:\/\/sph.emory.edu\/qual-works) training program in 2013 for public health professionals. Her courses, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research, such as using interpreters and translators in qualitative data collection; the effect of using court reporters on data quality; estimating sample size in qualitative studies; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their \u2018Cases in Methodology\u2019 work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP), on \u2018Qualitative Research in Population Studies\u2019 which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums, such as: International Congress of Qualitative Inquiry; International Institute for Qualitative Methods; European Association of Population Studies; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition; Emerson et al (2011) Writing Ethnographic Fieldnotes; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition; Hennink (2014) Focus Group Discussions. Oxford University Press",
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        "event_title":"June 1-5 Course - Introduction to Qualitative Research Methods",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 1-5, 2026, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research, covering principles of qualitative research, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews, focus groups, and observation \u2013 and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan, Department of Epidemiology, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory\u2019s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1,000 citations - considered high impact scholarship. She received the 2020 Provost\u2019s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years\u2019 experience in the design, conduct, analysis, and publication of qualitative health research. She has authored five textbooks on qualitative research, including: Qualitative Research Methods 2nd edition (2020); Focus Group Discussions (2014), Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https:\/\/sph.emory.edu\/qual-works) training program in 2013 for public health professionals. Her courses, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research, such as using interpreters and translators in qualitative data collection; the effect of using court reporters on data quality; estimating sample size in qualitative studies; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their \u2018Cases in Methodology\u2019 work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP), on \u2018Qualitative Research in Population Studies\u2019 which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums, such as: International Congress of Qualitative Inquiry; International Institute for Qualitative Methods; European Association of Population Studies; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition; Emerson et al (2011) Writing Ethnographic Fieldnotes; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition; Hennink (2014) Focus Group Discussions. Oxford University Press",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "event_title":"June 1-5 Course - Introduction to Qualitative Research Methods",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 1-5, 2026, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research, covering principles of qualitative research, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews, focus groups, and observation \u2013 and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan, Department of Epidemiology, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory\u2019s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1,000 citations - considered high impact scholarship. She received the 2020 Provost\u2019s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years\u2019 experience in the design, conduct, analysis, and publication of qualitative health research. She has authored five textbooks on qualitative research, including: Qualitative Research Methods 2nd edition (2020); Focus Group Discussions (2014), Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https:\/\/sph.emory.edu\/qual-works) training program in 2013 for public health professionals. Her courses, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research, such as using interpreters and translators in qualitative data collection; the effect of using court reporters on data quality; estimating sample size in qualitative studies; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their \u2018Cases in Methodology\u2019 work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP), on \u2018Qualitative Research in Population Studies\u2019 which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums, such as: International Congress of Qualitative Inquiry; International Institute for Qualitative Methods; European Association of Population Studies; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition; Emerson et al (2011) Writing Ethnographic Fieldnotes; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition; Hennink (2014) Focus Group Discussions. Oxford University Press",
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        "event_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "event_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences",
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        "combined_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences: Heidi Guyer - RTI International",
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        "description":"June 1-10, 2026  MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nData Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection, cross-sectional and longitudinal health surveys, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors, such as sleep and diet quality, and the development of chronic health conditions.",
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        "combined_title":"June 1-5, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop: Amanda Sonnega -  Institute for Social Research, University of Michigan",
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        "event_title":"June 1-5 Course - Introduction to Qualitative Research Methods",
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        "combined_title":"June 1-5 Course - Introduction to Qualitative Research Methods: Dr. Monique Hennink - Hubert Department of Global Health, Emory University",
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        "description":"June 1-5, 2026, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research, covering principles of qualitative research, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews, focus groups, and observation \u2013 and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan, Department of Epidemiology, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory\u2019s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1,000 citations - considered high impact scholarship. She received the 2020 Provost\u2019s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years\u2019 experience in the design, conduct, analysis, and publication of qualitative health research. She has authored five textbooks on qualitative research, including: Qualitative Research Methods 2nd edition (2020); Focus Group Discussions (2014), Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https:\/\/sph.emory.edu\/qual-works) training program in 2013 for public health professionals. Her courses, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research, such as using interpreters and translators in qualitative data collection; the effect of using court reporters on data quality; estimating sample size in qualitative studies; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their \u2018Cases in Methodology\u2019 work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP), on \u2018Qualitative Research in Population Studies\u2019 which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums, such as: International Congress of Qualitative Inquiry; International Institute for Qualitative Methods; European Association of Population Studies; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition; Emerson et al (2011) Writing Ethnographic Fieldnotes; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition; Hennink (2014) Focus Group Discussions. Oxford University Press",
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        "event_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "event_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences",
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        "combined_title":"June 1-10, 2026  MWF Course - Data Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences: Heidi Guyer - RTI International",
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        "description":"June 1-10, 2026  MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nData Collection Using Wearables, Sensors, and Apps in the Social, Behavioral, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals, in real time, and may also reduce participant burden. In this course, we will provide examples of the utility of and integration of wearables, sensors, and apps in research settings. Examples will include the use of wearable health devices to measure activity, apps for ecological momentary assessment, and smartphone sensors to measure sound and movement, among others. Additionally, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage, participation, and measurement error when integrating wearables, sensors, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection, cross-sectional and longitudinal health surveys, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors, such as sleep and diet quality, and the development of chronic health conditions.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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