William G. Axinn is professor of survey research, population studies, sociology and public policy at the University of Michigan. Axinn is a social demographer studying community, intergenerational, and social psychological influences on marriage, childbearing, reproductive health, mental health and the natural environment. He is former director of Michigan’s Survey Research Center with an active program of methodological research on longitudinal studies, survey data collection and mixed method studies. He is director of the Chitwan Valley Family Study (CVFS), a 20-year, mixed method longitudinal study in Nepal and deputy director of the Michigan team implementing the U.S. National Survey of Family Growth (NSFG) on behalf of the National Center for Health Statistics (NCHS).
Patricia Berglund is a Senior Research Associate in the Survey Methodology Program at the Institute for Social Research. She has an extensive background in the use of computing systems for data management and analysis. In addition, she is involved in development, implementation, and teaching of analysis courses and computer training programs at the Survey Research Center/ISR. She is currently working on a variety of research projects including the Army STARRS project, the National Survey of Family Growth, and in the mental health field using data from the National Comorbidity Surveys, World Mental Health Surveys, and various other national and international surveys. She is also co-author of “Applied Survey Data Analysis” with Steve Heeringa and Brady West. Pat’s educational background includes an MBA and BA in Music, both from Northwestern University.
Jessica Broome is an independent research consultant who conducts both qualitative and quantitative research for clients in a range of sectors, including healthcare, food, financial, consumer packaged goods, and education. She received her PhD in Survey Methodology from the University of Michigan, her MS in Applied Social Research from Hunter College of the City University of New York, and her BA in Sociology from Connecticut College. Her dissertation explored the impacts of telephone interviewers' speech and vocal characteristics on survey participation.
Sarah Burgard's research focuses on health disparities by socioeconomic status, gender, and race/ethnicity across the life course. She has focused particularly on the links between employment and health, including mental health, chronic disease and overall health status, and health behaviors. She is the current PI of the Americans' Changing Lives Study, a panel representing the U.S. adult population that was started in 1986. She is also a PI of the Michigan Recession and Recovery Study, a panel survey of adults in Southeast Michigan that is tracking the health and mental health of these individuals in the wake of the Great Recession of 2007-2009. Using these data, she has published on the reciprocal associations between employment insecurity and instability and health, and as well as on the influences of financial shocks, debt, housing instability, and material hardship. She has also conducted a variety of cross-national studies on health, comparing the U.S. with Brazil, South Africa, China, and other societies that vary in theoretically and substantively important ways that impact health.
Pamela Campanelli is a Survey Methods Consultant and U.K. Chartered Statistician Statistician and Chartered Scientist. She received her Ph.D. in statistics from the London School of Economics, and an M.A. in applied social research (survey methodology) and B.A. in psychology from the University of Michigan. Prior to starting her Survey Coach business (see The Survey Coach), she was a Research Associate at the Office of Educational Resources and Research at the University of Michigan, a Survey Statistician at the Center for Survey Methods Research at the U.S. Bureau of the Census, Chief Research Officer at the UK Institute for Social and Economic Research at the University of Essex, and Research Director at the Survey Methods Centre at the National Centre for Social Research, London. Her main interests and publications are in the study of survey error and data quality issues, with a special emphasis on questionnaire design, question testing strategies, and mixed modes of data collection. In addition to her consultancy work, she regularly teaches short courses for a variety of organizations, universities, government departments, and survey research companies in the UK as well as in Singapore, Hong Kong, Australia, Switzerland, Brazil, Armenia and the University of Michigan Summer Institute.
Mary Anne Casey is an independent consultant and adjunct professor at the University of Minnesota. She specializes in designing and conducting individual and group interviews as a way of listening. The resulting information is typically used to plan and evaluate programs. She previously worked for the Kellogg foundation and the State of Minnesota. Casey is the coauthor of several books on focus group interviewing. She has been a consultant and evaluator at the international, national, state, and local levels on topics relating to health, wellness, community development, agricultural policy, and environmental issues. She received her PhD degree from the University of Minnesota. In her spare time she enjoys reading, gardening and traveling.
Philippa J. Clarke research interests are in social epidemiology, social gerontology, life course perspectives, models of disability, and population health. I am primarily interested in the social determinants of health at both the micro and macro levels of social reality and at the intersection of these levels as well. My current work examines the role of the built environment on mobility disability, cognitive function, and social participation (with data from the Chicago Community Adult Health Survey); the effect of the urban environment on disability trajectories over time (with national data from the Americans' Changing Lives Study); the health and social factors influencing the use of assistive devices (with data from the Canadian Study of Health & Aging); and cross-national disparities in disability and psychosocial resources (comparing data from the US Health and Retirement Study and the English Longitudinal Study on Ageing). I am currently funded by the Centers for Disease Control and Prevention (CDC) through a career development (K01) award to use geographic information systems (GIS) to examine the relationship between the built environment & disability progression, & to identify whether older adults living in less accessible neighborhoods are more likely to be admitted to a nursing home over time. Dr. Clarke has been an investigator on the ACL study since 2005.
Frederick Conrad is a Research Professor in the Survey Research Center at the University of Michigan and in the Joint Program in Survey Methodology (JPSM) at the University of Maryland, as well Professor of Psychology at the University of Michigan. He is the director of the Michigan Program in Survey Methodology. He received a Ph.D. in psychology from the University of Chicago. His current research includes data collection with mobile, multimodal devices, adaptive user interfaces in web surveys, and interviewing techniques and interviewer-respondent interaction.
Mick P. Couper is a Research Professor in the Survey Research Center at the Institute for Social Research and the Joint Program in Survey Methodology at the University of Maryland. He received a Ph.D. in sociology from Rhodes University, an M.A. in applied social research from the University of Michigan and an M.Soc.Sc. from the University of Cape Town. His current research interests include survey nonresponse, design and implementation of survey data collection, effects of technology on the survey process, and computer-assisted survey methods, including both interviewer-administered (CATI and CAPI) and self-administered (web, audio-CASI, etc.) methods.
Michael Elliott is an Professor of Biostatistics and an Research Professor at the Institute for Social Research. He received his Ph.D. in biostatistics in 1999 from the University of Michigan. Prior to joining the University of Michigan in 2005, he held an appointment as an Assistant Professor at the Department of Biostatistics and Epidemiology at the University of Pennsylvania School of Medicine. Dr. Elliott's research interests include the design and analysis of sample surveys, causal inference, and missing and latent variable data structures. Dr. Elliott chairs the BRFSS Survey Oversight committee, organized by the American Statistical Association at the request of the Centers for Disease Control.
Paula Fomby is an Associate Research Scientist in the Survey Research Center and Population Studies Center in the Institute for Social Research at University of Michigan. Fomby is a family demographer. Her research considers how family structure change influences children's well-being and incorporates neighborhood and school contexts to explain variation in child outcomes. She is a co-investigator on the Panel Study of Income Dynamics 2014 Child Development Supplement and the former survey director of the Three-City Study at Johns Hopkins University.
Dirgha Ghimire is a Research Associate Professor at Michigan’s Population Studies Center, Adjunct Professor at the Agriculture and Forestry University in Nepal, and Executive Director at the Institute for Social and Environmental Research - Nepal. Ghimire is a social demographer studying the interplay between socio-political, economic and familial changes, psychological and emotional stress, population mobility and environmental dynamics. His methodological works involves mixed method design and implementation of innovative context-specific measures and measurement tools using mobile communication technology for the study of family change, related social processes and outcomes, and geophysical processes. He has more than 20 years of experience in the creation, management, and dissemination of data resources to the scientific community. Ghimire also regularly teaches an international seminar on Survey Data Analysis in Nepal.
Heidi Guyer is a Survey Director at the University of Michigan SRC. She has previously directed a large NIH-funded panel survey, the Health and Retirement Study (HRS), using RSD techniques, and she currently directs the National Survey of Family Growth (NSFG), including the RSD techniques used for that survey. She has extensive experience training investigators and managers around the world in methods for collecting data on similar surveys (e.g., the SHARE survey in Europe).
Steven G. Heeringa is a Research Scientist at the University of Michigan Institute for Social Research (ISR) and Associate Director of the ISR Survey Research Center (SRC). He is a member of the Faculty of the University of Michigan Program in Survey Methods and the Joint Program in Survey Methodology. He is a Fellow of the American Statistical Association and elected member of the International Statistical Institute. He is the author of many publications on statistical design and sampling methods for research in the fields of public health and the social sciences. He is the lead author of Applied Survey Data Analysis (Chapman & Hall, 2010), a comprehensive new text on methods for the statistical analysis of complex sample survey data. Steve has over 38 years of statistical sampling experience in the development of the SRC National Sample design, as well as research designs for ISR's major longitudinal and cross-sectional survey programs. Since 1985 Steve has collaborated extensively with scientific colleagues in the design and conduct of major studies in aging, psychiatric epidemiology and physical and mental health. He has been a teacher of survey sampling and statistical methods to U.S. and international students and has served as a sample design consultant to a wide variety of international research programs based in countries such as Russia, the Ukraine, Uzbekistan, Kazakhstan, India, Nepal, China, Egypt, Iran, the United Arab Emirates, Qatar, South Africa and Chile.
Bob Henson is an associate professor at The University of North Carolina at Greensboro. He received is with a Ph.D. in quantitative psychology and an M.S. in statistics. Since 2005 Dr. Henson has taught a Hierarchical Linear Modeling course multiple times and published various papers focusing on the analysis of change across time using HLM. In addition, Dr. Henson’s current research focus is on Diagnostic Classification Models (DCMs; also known as cognitive diagnosis). DCMs are a modeling approach to scoring exams that provide a mastery profile that identifies those skills or attributes that an examinee has mastered or has not mastered.
James S. House is Angus Campbell Distinguished University Professor Emeritus of Survey Research, Public Policy, and Sociology, and an elected member of the American Academy of Arts and Sciences, the Institute of Medicine, and the National Academy of Sciences. He received his B.A. in History (minor in Psychology) from Haverford College in 1965 and his Ph.D. in Social Psychology from the University of Michigan in 1972. From 1970 through 1978 he was on the faculty of the Sociology Department at Duke University, and an adjunct faculty member of the Department of Epidemiology at the University of North Carolina, Chapel Hill. He returned to the University of Michigan in 1978 with a joint faculty appointment in the Survey Research Center of the Institute for Social Research and Department of Sociology, and research affiliations with the Department of Epidemiology of the School of Public Health and the Institute of Gerontology. In 2008 he joined the faculty of Michigan's Ford School of Public Policy.
Florian Keusch is a Researcher at University of Mannheim, Germany, and an Adjunct Assistant Research Scientist at the University of Maryland. Before joining the Universities of Mannheim and Maryland, he was a Research Fellow at the Institute for Social Research at the University of Maryland and a Research Associate at the Institute for Advertising and Marketing Research at WU (Vienna University of Economics and Business, Austria). He received a PhD in Social and Economic Sciences (Dr.rer.soc.oec.) and a MSc in Business (Mag.rer.soc.oec.) from WU. His main research interests include various aspects of Web survey methodology, including participation behavior in online panels and the influence of questionnaire design on measurement error.
Nicole Kirgis is a Survey Director at the University of Michigan SRC. She previously directed the NSFG, overseeing its RSD techniques, and she currently directs the HRS. She has been actively promoting RSD techniques through publications, conference presentations, and training seminars conducted worldwide.
Frauke Kreuter is a Professor in the Joint Program in Survey Methodology at the University of Maryland, a Professor of Statistics and Social Science Methods at the University of Mannheim in Germany, and the head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nürnberg, Germany. She received her PhD in Survey Methodology from the University of Konstanz. Before joining the University of Maryland she held a postdoc at the UCLA Statistics Department. Her research focuses on sampling and measurement errors in complex surveys. In her work at JPSM she maintains strong ties to the Federal Statistical System, and she has served in advisor roles for the National Center for Education Statistics and the Bureau of Labor Statistics.
Richard Krueger is professor emeritus at the University of Minnesota, USA. He is an internationally recognized authority on the use of focus group interviewing within the public environment. He has written 7 books, authored many journal articles and lectured at venues throughout the world on this topic. In addition he is a former president of the American Evaluation Association. He holds a PhD in research methods and holds academic appointments in education, epidemiology and public health. In his spare time he repairs his motorcycle, swaps stories with friends, and shops for tools at the local hardware store. Maybe you’ve seen him there.
François Laflamme is a senior methodologist from Statistics Canada with over 20 years of survey methodology experience working on a wide range of social and business surveys. Dr. Laflamme is currently working in the Collection, Planning and Management Division, carrying out research into data collection activities. Over the last five years, he has conducted a series of studies on paradata, focusing in particular on the analysis of call history data, the development of active management tools (including RSD), and the evaluation of survey productivity and cost. Many of his investigations are based on research of the data collection process using survey paradata to better understand the various cycles of data collection and what improvements can be made. He has served as the lead author on several papers related to these topics.
Sunghee Lee is an Associate Research Scientist at the Survey Methodology Program. She holds a PhD from the Joint Program in Survey Methodology at the University of Maryland. Before joining the Survey Methodology Program, she served as Survey Methodologist for California Health Interview Survey and an Adjunct Assistant Professor in Biostatistics at UCLA. Sunghee’s research interest includes sampling and measurement issues in data collection with linguistic and racial minorities as well as hard-to-reach populations and cross-cultural survey methodology.
James M. Lepkowski is Research Professor at the Survey Research Center and Professor of Biostatistics at the University of Michigan. He is also Research Professor at the Joint Program in Survey Methodology at the University of Maryland. He received his Ph.D. from the University of Michigan in 1980. His research interests include sampling methods, methods for compensating for missing data, estimation strategies for complex sample survey data, and the effect of interviewer and respondent behavior on the quality of survey data.
Zeina Mneimneh is an Assistant Research Scientist in the Survey Methodology Program within the Survey Research Center, University of Michigan. She holds a PhD in Survey Methodology from University of Michigan. She has more than 15 years of experience in designing, conducting, and overseeing large-scale surveys and is a collaborator in the cross-national World Mental Health survey initiative. Her main operational interests include monitoring surveys using paradata, reducing survey error in conflict-affected settings, and international capacity building. Her main research interests include interview privacy, social desirability effects, adaptive measurement design, interviewer effects, and quality of big data.
Raphael Nishimura Raphael Nishimura is Principal Survey Scientist with Abt SRBI. He holds a PhD in Survey Methodology from the University of Michigan and a Bachelor's degree in Statistics from the University of São Paulo. His main research interest includes sampling methods, survey nonresponse and adaptive/responsive designs.
Andy Peytchev is a Research Assistant Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor campus. He holds an MS in Survey Research and Methodology from the University of Nebraska-Lincoln and a PhD in Survey Methodology from the University of Michigan. His main interests are in nonresponse measurement, reduction, and adjustment, causal understanding of the relationship between survey errors, and designing studies that minimize total survey error in estimates. Additionally, he has expertise in multiframe and multiphase study designs, weighting, and imputation. He is an associate editor for Public Opinion Quarterly and also has served as an instructor at the Odum Institute at the University of North Carolina—Chapel Hill.
Emilia Peytcheva is a research survey methodologist with RTI International. She holds a PhD. in survey methodology from the University of Michigan. Peytcheva's research expertise includes measurement error-inducing factors in cross-cultural research and the interplay among survey errors and their combined effect on total survey error. Her interests include methods for minimizing measurement error induced by the survey questionnaire.
Trivellore Raghunathan (Raghu) is the Director of the Survey Research Center and a Research Professor at the Institute for Social Research. He is a Professor of Biostatistics at the School of Public Health. He is also a Research Professor in the Joint Program in Survey Methodology at the University of Maryland. He served as the Chair of the Department of Biostatistics from January 2010- August 2014. He is an Associate Director of the Center for Research on Ethnicity, Culture and Health (CRECH). He received his Ph.D. in Statistics from Harvard University in 1987. Before joining the University of Michigan in 1994, he was on the faculty in the Department of Biostatistics at the University of Washington. His research interests are in the analysis of incomplete data, multiple imputation, Bayesian methods, design and analysis of sample surveys, small area estimation, confidentiality and disclosure limitation, longitudinal data analysis and statistical methods for epidemiology. He has developed a SAS based software for imputing the missing values for a complex data set and can be downloaded from www.iveware.org.
Nancy Riley is Professor of Sociology in the Department of Sociology and Anthropology at Bowdoin College (Maine). She received her Ph.D. in demography from Johns Hopkins University. Her research has focused primarily on family, gender, and population in China and uses both quantitative and qualitative data. She recently published Gender, Work, and Family in a Chinese Economic Zone: Laboring in Paradise (Springer 2012), based on fieldwork with married migrant workers in Northeast China and Population in China (Polity 2016). She is currently involved in a project on Chinese experience in Hawai`i drawing from quantitative, ethnographic, interview, and archival data.
Narayan Sastry is a Research Professor in the Population Studies Center and Survey Research Center at the University of Michigan’s Institute for Social Research. Sastry received his Ph.D. in Demography and Public Affairs from Princeton University. Sastry's research interests center on studying the social and spatial dimensions of health, development, and well-being of children and adolescents, both in the United States and in less developed countries. Sastry is the Co-Director of the Los Angeles Family and Neighborhood Survey (L.A.FANS). He is the Director of the Displaced New Orleans Residents Survey (DNORS). Sastry also serves as an Associate Director on the Panel Study of Income Dynamics (PSID) and directs the PSID Child Development Supplement and PSID Transition into Adulthood study.
Nora Cate Schaeffer is Sewell Bascom Professor of Sociology and the Faculty Director of at the University of Wisconsin Survey Center. She received a Ph.D. in sociology at the University of Chicago, where she held various positions at the National Opinion Research Center. She has over twenty-five years of experience in survey methodology and instrument design. She has taught instrument design regularly for the Summer Institute and the University of Michigan-University of Maryland Joint Program in Survey Methodology. Her current research focuses on interaction when the sample member is recruited and during the interview. She has served on the Committee on National Statistics and held offices in American Association for Public Opinion Research and the Section on Survey Research Methods of the American Statistical Association. In 2010 she was named a Fellow of the American Statistical Association.
Stephen Schilling is an Associate Research Scientist at the University of Michigan Institute for Social Research (ISR) Survey Research Center. He is also a member of the faculty in the School of Education and the Medical School at the University of Michigan. He received an M.S. in Statistics and a Ph.D. in Quantitative Psychology from the University of Chicago, and a B.S. in Human Development from Cornell University. Dr. Schilling’s research interests include applications of Item Response Theory (IRT) for measuring teacher knowledge; applications of IRT for measuring patient reported outcomes in medicine; estimation and testing of multidimensional IRT models; and Markov Chain Monte Carlo methods for IRT models.
Barry Schouten is a Senior Methodologist in the Division of Methodology and Quality at Statistics Netherlands. Dr. Schouten’s research interests include nonresponse bias, measurement error, mixed-mode surveys, and adaptive or responsive survey design. He is a principal developer of the R-Indicator, a new measure of survey quality that measures how well a set of respondents resembles the sample based on covariates measured on the full sample. He is also developing new, adaptive survey designs in the mixed-mode setting that maximize the R-Indicator while minimizing the risk of measurement error.
Amanda Sonnega is an Assistant Research Scientist in the Survey Research Center at the University of Michigan, where she is responsible for integrating communication, outreach, and education efforts for the Health and Retirement Study. She received her Ph.D. in health psychology from the Johns Hopkins University School of Hygiene and Public Health. She has lectured in the UM School of Public Health teaching Psychosocial Factors in Health-related Behavior. Her current research focuses on institutional and personal factors associated with vulnerability and resilience in aging individuals.
Z. Tuba Suzer-Gurtekin is a Research Fellow in the Survey Methodology Program within the Survey Research Center, University of Michigan. She holds a PhD in Survey Methodology from University of Michigan. Before that, she earned an MS in survey methodology from University of Michigan and an MBA from Western Michigan University. Before focusing on her doctoral studies, she worked in an international consulting company for nine years focusing on survey design and data analysis. Her current research interests include mixed-mode survey inference, sampling and measurement error adjustment methods and respondent driven sampling data analysis.
James Wagner completed a bachelor's degree in political science from Macalester College in 1987, and completed a master's degree in political science from the University of Michigan in 1992. He has over 15 years experience working on surveys. He received his PhD from the Program in Survey Methodology in 2008. He currently is Research Associate Professor in Survey Methodology at the Survey Research Center.
Brady T. West Brady T. West is a Research Associate Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor (U-M) campus. He also serves as a Statistical Consultant on the U-M Consulting for Statistics, Computing, and Analytics Research (CSCAR) team. He earned his PhD from the Michigan Program in Survey Methodology in 2011. Before that, he received an MA in Applied Statistics from the U-M Statistics Department in 2002, being recognized as an Outstanding First-year Applied Masters student, and a BS in Statistics with Highest Honors and Highest Distinction from the U-M Statistics Department in 2001. His current research interests include the implications of measurement error in auxiliary variables and survey paradata for survey estimation, survey nonresponse, interviewer variance, and multilevel regression models for clustered and longitudinal data. He is the lead author of a book comparing different statistical software packages in terms of their mixed-effects modeling procedures (Linear Mixed Models: A Practical Guide using Statistical Software, Second Edition, Chapman Hall/CRC Press, 2014), and he is a co-author of a second book entitled Applied Survey Data Analysis (with Steven Heeringa and Pat Berglund), which was published by Chapman Hall in April 2010 and has a second edition in press that will be available in mid-2017. Brady lives in Dexter, MI with his wife Laura, his son Carter, his daughter Everleigh, and his American Cocker Spaniel Bailey.