Faculty

 


Daniel Almirall is a Research Assistant Professor in the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor campus. His current methodological research interests lie in the broad area of causal inference, and he is particularly interested in methods for causal inference using longitudinal data sets in which treatments, covariates, and outcomes are all time-varying. He is also interested in developing statistical methods that can be used to form adaptive interventions, sometimes known as dynamic treatment regimes. He also works with clinical scientists and behavioral health researchers to design sequential multiple assignment randomized trials (SMARTs). SMARTs are randomized trial designs that give rise to high-quality data that can be used to develop and optimize adaptive treatment strategies.


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).


Jessica BroomeJessica 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.


Pamela Campanelli is a Survey Methods Consultant and U.K. Chartered Statistician, Chartered Scientist and Fellow of the Academy of Social Sciences. 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 www.thesurveycoach.com), 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, scale development, 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 and around the world from Singapore, Hong Kong and Australia to Brazil 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.

 


Stephanie Coffey has worked at U.S. Census Bureau since 2010, and has worked on design and estimation facets of several large federal surveys, including the American Housing Survey, the Residential Finance Housing Survey, and the National Survey of College Graduates. Starting in 2012, she has worked as a survey methodologist in the Center for Adaptive Design and has focused on implementing and evaluating features of adaptive designs in Census Bureau Surveys. Stephanie is a doctoral candidate in the JPSM program at University of Maryland. She has a Master's degree in statistics from Hunter College in New York City and a Bachelor's degree in Materials Science Engineering from Virginia Tech.

 


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 CouperMick 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.

 


Brad Edwards is a Westat vice president with more than 30 years of experience designing and managing large, complex surveys.  He is Westatâs project director for the Medical Expenditure Panel Surveyâs household component.  Research interests include multicultural issues, panel survey design, mobile devices, performance dashboards, and data collector training and management. He co-chaired the 2015 conference âTotal Survey Error:  Improving Quality in an Era of Big Data,â and co-edited Total Survey Error in Practice (2017). He was also a co-editor of Survey Methods in Multinational, Multiregional, and Multicultural Contexts (2010) and Hard-to-Survey Populations (2015), and has authored or co-authored many book chapters, journal articles, short courses, and presentations at AAPOR, ESRA, and other conferences.

 


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.


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.


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. 

 


Shonda Kruger Ndiaye is a Survey Director at the University of Michigan SRC. She was previously a Survey Manager on the NSFG, implementing its RSD techniques, and she currently directs data collection on the Panel Study of Income Dynamics suite, which includes several studies that implement RSD.


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.


Peter V. Miller is a Senior Researcher for Survey Measurement at the U.S. Bureau of the Census, and Chief Scientist in the Bureau’s Center for Adaptive Design.  He joined the staff of the Census Bureau in 2011. Before arriving at Census, Dr. Miller spent 29 years at Northwestern University, where he holds an appointment as Professor Emeritus.  At Northwestern, he served at various times as Associate Professor, Van Zelst Research Professor, Director of the Institute for Modern Communication, Chair of the Department of Communication Studies and Associate Dean for External Programs in the School of Communication.  Prior to his service at Northwestern, he was an Assistant Study Director in the Survey Research Center at the University of Michigan, where he was also Assistant Professor of Sociology and Communication and Director of the Detroit Area Study.  He also has held faculty positions at the University of Illinois, Urbana-Champaign and at Purdue University.  Miller was Editor-in-Chief of Public Opinion Quarterly from 2001 to 2008.  He has held several elective offices in AAPOR, most recently serving as President in 2009-2010.  He received the Harry W. O’Neill Award for Outstanding Achievement from the New York Chapter of AAPOR in 2012.  He was also named a Fellow of the Midwest Chapter of AAPOR in 2012.  His research has included work on interviewer and mode effects in surveys and survey nonresponse.    


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.


Joe Murphy is senior survey methodologist at RTI International. His research focuses on the application of new technologies to improve the quality, relevance, and efficiency of surveyresearch. He also investigates optimal designs for multimode data collection platforms, data visualization, and using social media to supplement surveys.

 


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.


Nancy Riley

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.


Nora Cate SchaefferNora 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.


Natalie Shlomo is a Professor of Social Statistics at the University of Manchester in the United Kingdom. Her research interests are in survey methodology and official statistics.  She is the UK principle investigator for several collaborative grants from the 7th Framework Programme of the European Union, all involving research in improving survey methods and dissemination. She is an elected member of the International Statistical Institute, an elected council member for the International Association of Survey Statisticians and a fellow of the Royal Statistical Society. She is associate editor of International Statistical Review, Journal of the Royal Statistical Society, Series A, and Journal of Privacy and Confidentiality. She is also a co-editor for the International Association of Survey Statisticians Newsletter. She is a member of several national and international advisory boards, particularly in the area of statistical disclosure control.


Yajuan Si 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.  She received her Ph.D on Statistical Science in 2012 from Duke University. Before joining the University of Michigan in 2017, Yajuan was an assistant professor jointly in the Department of Biostatistics & Medical Informatics and the Department of Population Health Sciences at the University of Wisconsin-Madison and a Postdoctoral Research Scholar in the Department of Statistics at Columbia University.  Dr Si’s research lies in cutting-edge methodology development in streams of Bayesian statistics, complex survey inference, missing data imputation, causal inference, and data confidentiality protection.  Yajuan has extensive collaboration experiences with health services researchers and epidemiologists to improve healthcare and public health practice, and she has been providing statistical support to solve sampling and analysis issues on health and social science surveys.


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.


Emily Treleaven research examines the effects of population change and social context on children's health and mortality in low- and middle-income countries. She is interested in how migration and urbanization, gender bias, and other social and structural determinants shape care-seeking behaviors, health, and health disparities for children and their families. Her current work includes several projects related to children's health, migration, and community context in South Asia.


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 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 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 effects, 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), the second edition of which was published by Chapman Hill in June 2017.  Brady lives in Dexter, MI with his wife Laura, his son Carter, his daughter Everleigh, and his American Cocker Spaniel Bailey.