The Methodology Core is linked to two programs, both created within ISR to focus on methodological issues and the integration of cutting-edge methodology into substantive research: the Program in Survey Methodology (PSM), which focuses on survey data collection and estimation methods, and the Quantitative Methodology Program (QMP), which focuses on the methodology and application of quantitative analysis. Both of these programs are highly multidisciplinary. PSM was established at ISR in 1992 to advance social science survey methodology across campus. PSM faculty are internationally known experts in sample design, questionnaire design, estimation of sampling variance from complex sun/eys, interviewing behavior, cognitive processes of respondents, and computerassisted measurement technologies. The program is currently staffed by 13 faculty members (8 PSCaffiliated): Conrad, Couper, Elliott, Groves, Heeringa, Lee, Lepkowski, Little, Raghunathan, Schwarz, Tourangeau, Traugott, and Valliant. Capitalizing on its close ties with the ISR unit responsible for fielding surveys, PSM trains sun/ey methodologists through three interdepartmental degree programs - a certificate, a masters'degree, and a PhD in survey methodology - and a non-candidate for degree option. It also collaborates with the University of Maryland in the Joint Program in Survey Methodology, funded by a consortium of federal statistical agencies to train future generations of survey methodologists. QMP was established at ISR in 1998 to serve as an intellectual hub for interdisciplinary interactions and exchanges on quantitative methodology at UM. Currently, its five core faculty members with offices in QMP - Hansen, Murphy, Narayan, Smith, and Xie -are all PSC- affiliated researchers. Two other active QMP affiliates - Bruch and Harding - are also PSC faculty members. These QMP researchers are experts in a range of methodological areas, including categorical data analysis, survival analysis, longitudinal data analysis, multi-level analysis, spatial-data analysis, causal inference, experimental designs, latent class analysis, latentvariable analysis, data mining, instrumental variable estimation and related methods for quasi-experimental designs, demographic estimation, and micro-simulation (or agent-based modeling).

National Institute of Health (NIH)
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Resource-Related Research Projects (R24)
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Special Emphasis Panel (ZHD1-DSR-W)
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University of Michigan Ann Arbor
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Do, Young Kyung; Norton, Edward C; Stearns, Sally C et al. (2015) Informal care and caregiver's health. Health Econ 24:224-37
Burgard, Sarah A; Chen, Patricia V (2014) Challenges of health measurement in studies of health disparities. Soc Sci Med 106:143-50
Clarke, Philippa; Latham, Kenzie (2014) Life course health and socioeconomic profiles of Americans aging with disability. Disabil Health J 7:S15-23
Xie, Yu; Zhou, Xiang (2014) Income inequality in today's China. Proc Natl Acad Sci U S A 111:6928-33
Burgard, Sarah A; Hawkins, Jaclynn M (2014) Race/Ethnicity, educational attainment, and foregone health care in the United States in the 2007-2009 recession. Am J Public Health 104:e134-40
Williams, Nathalie E; Thornton, Arland; Young-Demarco, Linda C (2014) Migrant Values and Beliefs: How Are They Different and How Do They Change? J Ethn Migr Stud 40:796-813
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Manning, Wendy D; Smock, Pamela J; Dorius, Cassandra et al. (2014) Cohabitation Expectations among Young Adults in the United States: Do They Match Behavior? Popul Res Policy Rev 33:287-305
Hartnett, Caroline Sten (2014) White-Hispanic differences in meeting lifetime fertility intentions in the U.S. Demogr Res 30:1245-1276
Morenoff, Jeffrey D; Harding, David J (2014) Incarceration, Prisoner Reentry, and Communities. Annu Rev Sociol 40:411-429

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