Research Interests: Latent variable models, design and analysis of nonexperimental studies, analysis with missing data, categorical data.
David Rindskopf came to the Graduate Center in 1979. His research and teaching are in the area of applied statistics, measurement, and research design. He is a fellow of the American Statistical Association (ASA) and a fellow of the American Educational Research Association (AERA), and has served as president of the New York Chapter of the ASA, as president of the Society of Multivariate Experimental Psychology, and as associate editor of the society’s journal, Multivariate Behavioral Research. He is former editor of the Journal of Educational and Behavioral Statistics, jointly published by ASA and AERA.
Rindskopf’s research mostly involves creative applications of statistical techniques to applied problems. He is pursuing one such application along with Professor William Shadish of the University of California–Merced, for which they have a grant from the Institute of Educational Sciences in the U.S. Department of Education. Data from some research areas come from case studies, which often provide detailed observations or measurements of individuals. Rindskopf and Shadish are investigating ways of using statistical methods to analyze data from such studies; these methods try to capture the pattern of results within each individual, and then see how much similarity there is across people. If there are differences, these methods can be used to try to discover explanations for these differences. Professor Rindskopf has also applied his knowledge to help the business community. For example, along with his colleague Professor Emeritus Alan Gross, he has worked with BusinessWeek to detect attempts to “cheat” on surveys that are used to help determine the ranking of MBA programs.