Faculty

William G. Axinn is Professor of Sociology and Research Professor at the Institute for Social Research at the University of Michigan. He studies the relationships among social change, family organization, intergenerational relationships, marriage, cohabitation, and fertility in the United States and Nepal. His methodological work focuses on the construction of new data collection methods employing elements of survey, ethnographic, and archival techniques.

Jennifer Barber is Assistant Professor in the Department of Sociology and Assistant Research Scientist at the Institute for Social Research at the University of Michigan. She received her Ph.D. in Sociology and Demography from the Pennsylvania State University. Her research focuses on social change, attitudes, and demographic behavior in the United States and in Nepal. Her work is funded by grants from the National Institute of Child Health and Human Development of the NIH. Her projects in Nepal combine multiple data collection methods, including participant observation, ethnographic unstructured interviews, focus groups, archival research, semi-structured calendar and registry methods, highly structured survey interviews, cognitive testing, and anthropometric measurement. She is also planning a new project in the United States that will combine comparative historical research, unstructured and structured interviews, participant observation, and analysis of existing survey data.

Patricia Berglund is a Senior Research Associate in the Survey Methodology Program at the Institute for Social Research. She holds an MBA from Northwestern University in Chicago, Illinois and has extensive experience in the use of computing systems for data management and analysis. She is currently working in the mental health field using data from the National Comorbidity Surveys, World Mental Health Surveys, and various other national and international surveys. In addition, she is involved in development, implementation, and teaching of analysis courses and computer training programs at the Survey Research Center/ISR.

Paul Biemer is a Distinguished Fellow at RTI International and Associate Director for Survey Research at the University of North Carolina. He received a Ph.D. in statistics from Texas A & M University in 1978. Formerly, he was Head of the Department of Experimental Statistics and Director of the University Statistics Center at New Mexico State University, and was Assistant Chief of Statistical Research at the Bureau of the Census in Washington, D.C. His research interests include nonsampling error evaluation and analysis and general survey methodology.

Pamela Campanelli is a Survey Methods Consultant and U.K. Chartered 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 methods) and B.A. in psychology from the University of Michigan. Prior to becoming an independent consultant, 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, interviewing techniques, survey nonresponse, and survey sampling. In addition to her consultancy work, she regularly teaches short courses for the UK Centre for Applied Social Surveys (CASS) and the Royal Statistical Society (RSS), for various UK universities, government departments, and survey research companies, the University of Michigan Summer Institute, JPSM, and the Swiss and Hong Kong Summer Schools (see The Survey Coach).

Rachel Caspar is a Senior Survey Methodologist at RTI International. Prior to joining RTI Intenational she received a M.A. in applied social research from the University of Michigan. and a B.A. in sociology from Oberlin College. Ms. Caspar specializes in designing questionnaires and developing data collection procedures for surveys of sensitive topics. Her research interests include methods for adapting complex material and concepts to be easily and consistently understood by survey participants of all ages, educational, cultural and linguistic backgrounds, as well as methods for testing questionnaires.

Frederick Conrad is a Research Associate Professor in the Survey Research Center at the Institute for Social Research. He is also a Research Associate Professor in the Joint Program in Survey Methodology at the University of Maryland. He received a Ph.D. in psychology from the University of Chicago. His current research includes adaptive user interfaces in web surveys, interviewer-respondent interaction, quantitative estimation in survey responding, evaluation of questionnaire pretesting methods, and usability of voting technology.

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.

Robert Croninger is an Associate Professor in the Department of Education Policy and Leadership in the College of Education at the University of Maryland. He received a Ph.D. in education studies from the University of Michigan in 1997. His research focuses on how school policies and practices influence the education of children from socially disadvantaged backgrounds. He is currently studying how 4th and 5th grade teachers adjust their pedagogical practices to address different classroom structures, patterns of student performance, and changing policy priorities. His most recent work examines the policy environment that surrounds teachers, methodological issues associated with measuring differences in teacher practices, and the potential effects of teacher qualifications on early learning.

Edith de Leeuw is a lecturer in methods and statistics at Utrecht University College associate professor at the department of methodology and statistics at Utrecht University. She teaches international workshops on survey methods and data quality in Europe. She received a Ph.D. in survey methodology at the Inter-universities Graduate School in Psychometrics and Sociometrics, University of Amsterdam. She was a Fulbright Scholar at the Social and Economic Sciences Research Center of Washington State University and a visiting scholar at the Program on Social Statistics at UCLA. She co-authored books in the field of survey methodology and edited special issues of international journals. Her most recent publications focus on nonresponse, computer-assisted data collection, data quality, and interviewing special populations.

Mike Elliott is a Research Assistant Professor. He received a PhD in biostatistics 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, and prior to that as a Visiting Professor of Biostatistics at the University of Michigan School of Public Health and as a Visiting Research Scientist at the University of Michigan Transportation Research Institute. Dr. Elliott's research interests include the design and analysis of sample surveys, U.S. Census undercount, and missing and latent variable data structures with applications to causal estimation and modeling. Dr. Elliott serves on the BRFSS Survey Oversight committee.

Nancy Fultz is a research consultant and instructor. She holds a MA in applied social research and a PhD in sociology from the University of Michigan. Her research interests include the impact of chronic health conditions on quality of life, women's health and aging, life course transitions, and survey methodology.

Robert M. Groves is senior research professor and director of the Survey Research Center at the Institute for Social Research, as well as professor of sociology, all at the University of Michigan, and research professor at the Joint Program in Survey Methodology at the University of Maryland. He is the author of Survey Errors and Survey Costs (Wiley, 1989); (with M. Couper) of Nonresponse in Household Interview Surveys (Wiley, 1998); (with R. Kahn) of Surveys By Telephone (Academic Press, 1979); chief editor of Telephone Survey Methodology (Wiley, 1988); a co-editor of Measurement Errors in Surveys (Wiley, 1991); chief editor of Survey Nonresponse (Wiley, 2002), and an author of many journal articles in survey methodology. His current research interests focus on theory-building in survey participation and models of nonresponse reduction and adjustment.

Sue Ellen Hansen is Director of the Technical Systems Group in Survey Research Operations (SRO) in the Survey Research Center at the University of Michigan, and holds an M.A. in applied social research and a Ph.D. in sociology from the University of Michigan. She has extensive knowledge of computer-assisted interviewing systems and has worked closely with users of such systems. In SRO, she is responsible for Web survey proposal development, Web survey administration and implementation, and the Center's Instrument Development Laboratory. She also has guided development of the Center's survey instrument design standards, and developed instrument design guidelines for cross-cultural survey research, as part of an international initiative to develop Cross-Cultural Survey Guidelines.

Steven G. Heeringa is a Research Scientist in the Survey Methodology Program, the Director of the Statistical and Research Design Group in the Survey Research Center, and the Director of the Summer Institute in Survey Research Techniques at the Institute for Social Research. He has over 25 years of statistical sampling experience directing the development of the SRC National Sample design, as well as sample designs for SRC's major longitudinal and cross-sectional survey programs. During this period he has been actively involved in research and publication on sample design methods and procedures such as weighting, variance estimation, and the imputation of missing data that are required in the analysis of sample survey data. He has been a teacher of survey sampling 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, and Chile.

Meredith House is a Survey Specialist in the Project Design and Management Group in Survey Research Operations (SRO) in the Survey Research Center at the University of Michigan, and holds Bachelor of Arts degrees from the University of Michigan in Spanish and Anthropology. In SRO, she has extensive experience in the management of education-based research studies that involve multiple modes of data collection, including Web surveys. She led a recent Center supported evaluation of Web survey software, and is a member of the SRO Web survey administration and implementation team, coordinating user support. Her expertise in both her education and Web research projects is development and administration of studies with many survey components that require complex sample management, reporting, and data management.

Joop Hox is a Professor of Social Science Methods at the Faculty of Social Sciences at Utrecht University in the Netherlands. He received a Ph.D. in social science at the University of Amsterdam. He is a member of the Netherlands Interuniversity Graduate School for Psychometric and Sociometric Research, and the International Statistical Institute. In 1990 he was a Fulbright scholar at UCLA, where he worked on multilevel modeling. His research interests are survey data quality and analyzing complex data structures. He has written on multi-level analysis and co-edited several books. He is co-editor of the April 1994 special issue of Sociological Methods and Research on Multi-level Analysis, and co-organizer of the biannual Amsterdam Multi-level Conference. Recently, he published Multilevel Analysis. Techniques and Applications. (Erlbaum, 2002). Some of his publications can be found on his homepage at http://www.fss.uu.nl/ms/jh.

Andrew Hupp is a Survey Specialist in the Project Design and Management Group in Survey Research Operations (SRO) in the Survey Research Center at the University of Michigan, and has a Bachelor of Arts in Geography from the University of Northern Iowa. He has extensive experience in the development of telephone and face-to-face computer assisted surveys, and mixed mode surveys. As a member of the SRO Web survey administration and implementation team, he has developed many complex Web surveys, including an international survey in multiple languages. In SRO, he has contributed to the development of sample listing and survey management systems. His wide-ranging responsibilities include constructing sample files, programming instruments, and managing projects. In addition, he has a special interest in the use of Geographic Information Systems (GIS) tools in survey data collection.

William Jacoby is Professor in the Department of Political Science at Michigan State University and Research Scientist at ICPSR, where he is Director of the Summer Program in Quantitative Methods of Social Research. Dr. Jacoby received his B.A. from the University of Delaware, and his M.A. and Ph.D. from the University of North Carolina at Chapel Hill. He recently served as Editor of the Journal of Politics (2001-2004). Dr. Jacoby's areas of specialization are mass political behavior and quantitative methodology. His substantive research focuses on ideology and personal value choices in public opinion and voting behavior. His methodological interests include measurement theory, scaling methods, and statistical graphics.

Frauke Kreuter is an Assistant Professor of Survey Methodology at the University of Maryland, College Park. As faculty member of the Joint Program in Survey Methodology she has taught classes on questionnaire design, randomized and non randomized research design and analysis of survey data. Prior to joining the Maryland faculty in 2004, she served as an Adjunct Assistant Professor at the Department of Statistics at the University of California, Los Angeles. Her research focuses on sampling and nonsampling errors in complex surveys; nonresponse, systematic measurement errors in survey response; and the application of latent variable methods for survey research. She is coeditor of Data Analysis using Stata.

Valerie Lee is a Professor of Education at the University of Michigan and a Faculty Associate at the Institute for Social Research. She received an Ed.D. from Harvard University in 1985. She has held research fellowships with the Educational Testing Service, the U.S. Department of Education, and at the Rockefeller Study Center in Bellagio, Italy. Her research focuses on social equity in educational settings. This she explores through investigations of the social distribution of achievement within schools, as well as how characteristics of the social and academic organization of schools influence students' academic and social development. She uses both qualitative and quantitative methods in her work. Her current research focuses on issues of educational equity in early elementary school, school size, school-based social capital, high schools divided into schools-within-schools, and identifying characteristics of secondary schools that make them especially effective and equity in international settings (e.g., sub-Saharan African countries, Brazil and other Latin American countries). Her most recent book is Restructuring High Schools for Equity and Excellence: What Works, published in 2001 by Teachers College Press.

James M. Lepkowski is Senior Research Scientist at the Survey Research Center and Associate 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. He currently directs the Michigan Interdepartmental Graduate Program in Survey Methodology. 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.

Helen Levy is a Research Assistant Professor in the Survey Research Center, Institute for Social Research at the University of Michigan and an Assistant Research Scientist at the Economic Research Initiative on the Uninsured. Her research focuses on the interaction between health insurance and the labor market. She is particularly interested in the causes and consequences of not having health insurance. Levy has also been a Robert Wood Johnson Foundation Scholar in Health Policy Research at the University of California at Berkely and an Assistant Professor at the University of Chicago's Harris Graduate School of Public Policy Studies. She received a PhD in economics from Princeton and a BA in math from Yale.

Roderick Little is a professor of Biostatistics at the University of Michigan, having chaired the department from 1993 to 2001. Dr. Little earned his Ph.D. in statistics from London University, and he has taught or conducted research at UCLA, the United States Bureau of the Census, and the University of Chicago. His primary area of research interest is analysis of data with missing values. His applied interests include mental health, demography, environmental statistics, biology, economics and the social sciences as well as biostatistics.

David L. Morgan is a Professor in the Institute on Aging at Portland State University, where he also holds appointments in the School of Community Health and in the Sociology Department. He received his Ph.D. in sociology from the University of Michigan in 1977. He specializes in focus groups and in research designs that combine qualitative and quantitative methods.

Palmer Morrel-Samuels is Director of the Workplace Research Foundation and CEO of Employee Motivation & Performance Assessment. He has worked for more than 25 years designing and analyzing surveys and assessments for large corporations, occasionally teaches research methodology (with Marc Zimmerman) through U of M's School of Public Health, and serves as an expert witness in discrimination cases that hinge on workplace assessments. He has been on the faculty at U of M's business school, has written several articles on survey design for Harvard Business Review, and has testified before congress on the linkage between survey results and employee performance. He received an MA in research methodology from the University of Chicago, and an M. Phil. & Ph.D. in experimental social psychology from Columbia. Current research interests include proving causal linkages to non-statisticians, using pretest-posttest comparisons in quasi-experimental designs, measuring linkages between "soft" features of the corporate culture and "hard" performance metrics, designing computer interfaces, and enhancing the reliability, validity, and business utility of workplace assessments.

Colm O'Muircheartaigh is Professor in the Irving B. Harris Graduate School of Public Policy Studies and Vice President for Statistics and Methodology in the National Opinion Research Center at the University of Chicago. He was formerly at the London School of Economics and Political Science (LSE), where he had been a member of the faculty of the Department of Statistics since 1971. He was the first director of The Methodology Institute, the LSE center for research and training in social science methodology. His research encompasses measurement errors in surveys, cognitive aspects of question wording, and latent variable models for nonresponse. He has served as a consultant to a wide range of public and commercial organizations, including the BBC World Service, AGB, British Household Panel Survey, and the U.S. Bureaus of Labor Statistics and the Census.

Mary Beth Ofstedal is an Associate Research Scientist in the Survey Research Center and Population Studies Center at the University of Michigan. She is closely involved in instrument development, data collection and research for the Health and Retirement Study. Her research interests include transitions in physical and cognitive functioning in old-age, utilization of health and long-term care services, intergenerational relations and support, longitudinal survey design and analysis, and comparative research.

Lisa Pearce is an Associate Professor of Sociology and a Faculty Fellow in the Carolina Population Center at The University of North Carolina at Chapel Hill. She incorporates a mix of survey and ethnographic methods to study how religion shapes youth well-being, aspirations, and family life in the transition to adulthood. With ongoing research set in both the U.S. and Nepal, her current U.S. work focuses on how religious ideology, practice, and salience in youth relate to subsequent education-, career-, and family-related attitudes and behavior. In Nepal, she studies connections between religion and family formation and how household-level population dynamics influence environmental consumption.

Beth-Ellen Pennell is the Director of Survey Research Operations at the Survey Research Center, Institute for Social Research , University of Michigan. Ms. Pennell also serves as a special advisor to the World Health Organization and Harvard University for the World Mental Health Project, a project involving the conduct of general population epidemiological studies in 25 developed and developing countries worldwide. Ms. Pennell has more than 25 years of experience in survey research operations and methods. She received her Master´s Degree in Applied Social Research from the University of Michigan in 1997. Her research interest focuses on methodological issues in cross national research.

Trivellore E. Raghunathan is a Professor of Biostatistics and a Research Professor at the Institute for Social Research. He also teaches in the Joint Program in Survey Methodology at the University of Maryland. He is an Associate Director of the Center for Research on Ethnicity, Culture and Health (CRECH). He is a faculty member at the Center of Social Epidemiology and Population Health (CSEPH). He is also affiliated with the University of Michigan Transportation Research Institute (UMTRI). 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. He continues to be involved in several projects at the Cardiovascular Health Research Unit (CHRU) 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.

Nancy Riley is Professor of Sociology in the Sociology/Anthropology Department at Bowdoin College. She received her Ph.D. in demography from Johns Hopkins University. In her research focusing on family, gender, and population in China, she has used both quantitative and qualitative data sources. She is currently working on a book, Laboring in Paradise: Gender, Work, and Family in a Chinese Economic Zone, based on her research in Dalian.

Joseph Sakshaug is a graduate of the University of Washington, where he received a bachelor's degree in mathematics. He went on to earn a master's degree in survey methodology from the University of Michigan. He has worked for several survey organizations, including the National Opinion Research Center, National Center for Health Statistics, and the U.S. Census Bureau. Joseph is currently a PhD student in the survey methodology program and was named the 2007-2008 Arbitron Fellow. He plans to pursue a career in teaching and research.

Nora Cate Schaeffer is a Professor of Sociology at the University of Wisconsin- Madison. She received a Ph.D. in sociology at the University of Chicago in 1984, 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 research has been published in Journal of the American Statistical Association, Public Opinion Quarterly, Sociological Methods and Research, and Sociological Methodology. Recently, her research has focused on interaction in the interview, and she is a coeditor of Standardization and Tacit Knowledge: Interaction and Practice in the Survey Interview.

Norbert Schwarz is Professor of Psychology, Senior Research Professor in the Survey Research Center and the Research Center for Group Dynamics at the Institute for Social Research, and Professor of Marketing at the University of Michigan Business School. He received a Ph.D. in psychology and sociology form the University of Mannheim in 1980 and formerly held affiliations with the University of Heidelberg and Zentrum fur Umfragen, Methoden, und Analysen (ZUMA) in Mannheim, Germany. Dr. Schwarz's interests focus on human cognition and communication, including their implications for survey methods. For more information and recent papers see his Web site.

Jay Teachman is a Professor of Sociology at Western Washington University. He received his Ph.D. in sociology from the University of Chicago where he specialized in demography and statistical methodology. His research focuses on the use of event history models to study the timing and sequencing of important life-course transitions such as marriage, divorce and childbearing.

Roger Tourangeau is the Director of the Joint Program in Survey Research at the University of Maryland and a Research Professor at the Institute for Social Research at the University of Michigan. He received his Ph.D. in Psychology from Yale University in 1978 and has been a survey researcher for more than twenty years. Prior to coming to the University of Michigan and JPSM, Tourangeau was at Gallup, where he was a Senior Methodologist and a Research Vice President at the National Opinion Research Center, where he founded the Statistics and Methodology Center. He was an applied sampler for 20 years at NORC and Gallup. His research interests include the psychological processes involved in survey responses, and he is the lead author (with Lance Rips and Kenneth Rasinski) of a book on that topic — The Psychology of Survey Response published by Cambridge University Press (2000). He has also conducted a number of studies on the impact of different modes of data collection on the answers to survey questions, especially questions about sensitive topics. He has been the Principal Investigator on five grants funded by the National Science Foundation and one from the National Institutes of Health. He has taught at Connecticut College, Yale, Columbia, and Northwestern Universities, at the University of Wisconsin, and at the Joint Program in Survey Methodology.

Richard Valliant is a Research Professor at the Survey Research Center at the University of Michigan. He is also a Research Professor at the Joint Program in Survey Methodology at the University of Maryland. He received his Ph.D. from Johns Hopkins University in 1983. He is currently an associate editor of Survey Methodology and the Journal of Official Statistics. His research interests include model-based sampling methods, replication variance estimation, and regression diagnostics for survey data.

John Van Hoewyk is a Senior Research Associate in the Survey Research Center at the Institute for Social Research. He received his Ph.D. in sociology from the City University of New York and has over 20 years of experience in the use of computers in the analysis of survey data. Currently, he is involved in the imputation of item missing data in large-scale data sets, including the Consumer Expenditure Survey, National Health Interview Survey, and National Health and Nutrition Examination. He is a member of a statistical software team at ISR that has developed IVEware, an imputation and variance estimation application. His interests also include the role of incentives in survey participation, disclosure risk in public release data sets, and public attitudes towards data sharing.

Amiram D. Vinokur is a Research Professor at the Survey Research Center of the Institute for Social Research and is an Associate Director of the Michigan Prevention Research Center. He received his Ph.D. in social psychology from the University of Michigan in 1970. His research focuses on determinants and consequences of stress in the areas of health, work, and unemployment, and on the roles of social support and social undermining in coping processes. His work also includes the design and implementation of preventive interventions for unemployed persons and their evaluation using randomized field experiments, follow-up surveys, and benefit-cost analyses. In recent years he has been teaching courses and publishing papers that focus on analyses using structural equation modeling methods.

Eben A. Weitzman is an Associate Professor in the Graduate Programs in Dispute Resolution, and in the Public Policy Ph.D. Program, both at the University of Massachusetts Boston. He received his Ph.D. in social and organizational psychology in 1994 from Columbia University. His work focuses on research methodology and on conflict within and between groups, with emphases on organizational conflict, cross-cultural conflict, and intergroup relations. He is Reviews Editor for the journal Field Methods, has worked as a database programmer, and has conducted extensive training in computer use. His recent publications include: "Using Computers in Qualitative Research" (in the 2nd edition of Denzin and Lincoln's Handbook of Qualitative Research)," Analyzing Qualitative Data with Computer Software," "Problem-solving and Decision-making in Conflict Resolution," and with the late Matthew B. Miles: "The State of Qualitative Analysis Software: What Do We Need?" and the book, Computer Programs for Qualitative Data Analysis (Sage, 1995).

Brady T. West just finished his first year in the PhD program of the Michigan Program in Survey Methodology (MPSM), and also serves as a Lead Statistician at the Center for Statistical Consultation and Research (CSCAR) on the University of Michigan-Ann Arbor (U-M) campus. 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 survey nonresponse, interviewer variance, and multilevel regression models for clustered and longitudinal data, and he is the lead author of a book comparing different statistical software packages in terms of their mixed modeling procedures (Linear Mixed Models: A Practical Guide using Statistical Software, Chapman Hall/CRC Press, 2007). He is currently co-authoring a second book entitled Applied Survey Data Analysis (with S. Heeringa and P. Berglund), slated to be published in late 2009. He specializes in applications of statistical software and the analysis of survey data and through CSCAR teaches several yearly short courses on statistical methodology and software. He is a lead or co-author on numerous publications presenting analyses of complex sample survey data.

William H. Yeaton is an independent consultant on research methods and evaluation. Yeaton received his Ph.D. in psychology from Florida State University in 1979. He worked full-time for 12 years at the Institute for Social Research and taught for many years in the School of Public Health at the University of Michigan. He has published over 30 scientific articles and consulted in a wide diversity of areas including the effectiveness of self-help groups, coronary artery bypass graft surgery, change in bankruptcy law, child abuse, occupational stress, non-pharmacological interventions for hypertension, and carotid endarterectomy. His academic interests include methodological issues in psychology, health, and evaluation research.