Sun Kyoung Lee received her Ph.D. in Economics from Columbia University in 2019. After a postdoctoral associate position at the Economic Growth Center and the Department of Economics at Yale University, Sun joined SRC and the Stone Center for Inequality Dynamics (CID) as a Research Assistant Professor on September 1. Sun implements big data and… Continue reading Lee,Sun Kyoung Kyoung
Research Theme: Data & Methods
Joanne Hsu
Joanne Hsu (pronounced “shoo” ) is the Director of the monthly Surveys of Consumers, tracking leading economic indicators including consumer sentiment and expectations, and a Research Associate Professor at the Institute for Social Research at the University of Michigan. Dr. Hsu’s research is primarily in the fields of household finance, labor economics, public economics, and… Continue reading Joanne Hsu
Mitnik,Pablo A
Pablo Mitnik is an Assistant Research Scientist at the Stone Center for Inequality Dynamics. His research focuses on intergenerational mobility, economic inequality, labor markets, and statistical methods. His recent work has advanced new methodological approaches to measure mobility and inequality of opportunity and has studied these phenomena in the United States from a cross-national comparative… Continue reading Mitnik,Pablo A
Catherine Asher
Catherine Armstrong Asher is an Assistant Research Scientist at the Youth Policy Lab at the University of Michigan’s Institute for Social Research. Her research, at the intersection of experimental design, quantitative methods, and education, investigates treatment effect heterogeneity in interventions and policies to help build critical knowledge of what works in education and youth services,… Continue reading Catherine Asher
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs
Smoking cessation decreases morbidity and mortality and is a cornerstone of cancer prevention. The ability to impact current and future vulnerability (e.g., high risk for a lapse) in real-time via engagement in self-regulatory activities (e.g., relaxation techniques, behavioral substitution, mindful attention) is considered an important pathway to quitting success. However, poor engagement represents a major… Continue reading Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs
Novel Longitudinal Methods for SMART Studies of Drug Abuse and HIV
The treatment of drug use and HIV often requires sequential, individualized decision-making concerning the type or delivery of treatment. An adaptive intervention is a treatment design that uses ongoing information from the patient to guide whether, and how to modify the treatment over time. By providing the appropriate treatment to those who need it, when… Continue reading Novel Longitudinal Methods for SMART Studies of Drug Abuse and HIV
Improving Reproducibility of Respondent Driven Sampling through Adaptive Design
Respondent driven sampling (RDS) is a recruitment method for hard-to-sample populations that are rare in number and/or elusive due to highly-stigmatized or illicit behaviors. For these groups, traditional probability sampling loses its feasibility, because it requires prohibitively high screening costs to locate eligible persons, and, even when eligible persons are located, their desire to hide… Continue reading Improving Reproducibility of Respondent Driven Sampling through Adaptive Design
Exploring Design Aspects of Web-Based Respondent-Driven Sampling for Racial/Ethnic Minorities
Increasing minority data availability is a priority of the HHS Action Plan to Reduce Racial and Ethnic Health Disparities. Currently available research data for racial/ethnicity minorities are, however, inadequate in their sample sizes and, hence, do not provide sufficient statistical power for analysis. Web-based respondent driven sampling (Web-RDS) is an extension of RDS, which exploits… Continue reading Exploring Design Aspects of Web-Based Respondent-Driven Sampling for Racial/Ethnic Minorities
Mick Couper
Dr. Couper’s current research interests include survey non-response, design and implementation of survey data collection, effects of technology on the survey process, and computer-assisted surveys, including both interviewer-administered (CATI and CAPI) and self-administered (web, audio-CASI, IVR) surveys. His current projects focus on consent to administrative record linkage, and participation rates and selection biases associated with… Continue reading Mick Couper
Mary Beth Ofstedal
Dr. Ofstedal is a demographer whose work focuses on population aging. She is a Research Scientist at the Institute for Social Research, where she serves as a Co-Investigator and Associate Director on the Health and Retirement Study. Her research interests include intergenerational relations and support, the connections between socioeconomic status and health, transitions in health… Continue reading Mary Beth Ofstedal