Instructors of HLM workshops

Steve Raudenbush & Tony Bryk
Steve Raudenbush is a professor in the Department of Sociology at the University of Chicago. His research interests include: Analysis of Multilevel Data; and Methods for Studying Psychological Change Within Schools, Classrooms, and Families. He considers his most significant achievement to date as having people use improved statistical methods to study children in educational settings and seeing research improve as a result. He has spent the last 10 years focusing on building into statistical models the fact that children are clustered into social settings rather than just solitary individuals. In addition, he has also presented workshops at national meetings to enable people to understand these methods.
	Tony Bryk is the Spencer Professor of Organizational Studies at Stanford University, serving in both the School of Business and the School of Education. His research interests include: Analysis of Multilevel Data; Research on School Organization and its Effects; and Socio-Political Organization of Applied Social Science.

Instructors of LISREL workshops

	Karl Jöreskog & Ken Bollen
	Karl Jöreskog is Professor Emeritus at Uppsala University (Sweden), Professor at the Norwegian School of Economics and Business Administration in Bergen (Norway) and Professor at the Norwegian School of Management in Oslo (Norway). His research interests include: multivariate analysis, factor analysis, covariance structure analysis, structural equation models, and statistical applications in behavioral and social sciences. Together with Professor Dag Sörbom, he developed the LISREL model and the LISREL computer program.
Ken Bollen is the Director of the Odum Institute for Research in Social Science and the Henry Rudolph Immerwahr Distinguished Professor in the Department of Sociology at the University of North Carolina, Chapel Hill. His research interests include Structural Equation Models and Comparative Research on Democracy. He wrote the standard reference book on SEM: Structural Equations with Latent Variables (1989, Wiley).

Instructors of LISREL workshops

Ralph O. Mueller & Gregory Hancock
	Ralph O. Mueller is professor of educational research and public policy and public administration and past chair of the Department of Educational Leadership at The George Washington University, Washington, DC. He is the author of an introductory SEM textbook and co-edited a more advanced text with Gregory Hancock: Structural Equation Modeling: A Second Course (2006, Information Age Publishing). He conducts regular SEM seminars for the American Educational Research Association and is a former chair of its special interest group on SEM. He serves on several editorial boards and is a charter member of the board of Structural Equation Modeling: A Multidisciplinary Journal. With Gregory Hancock he contributed a chapter to the Festschrift for Prof. Jöreskog.
Gregory Hancock is a professor in the Department of Measurement, Statistics and Evaluation at the University of Maryland, College Park. His SEM research interest lies primarily in latent variable experimental design and analysis, e.g., projects dealing with latent growth models, as well as the use of MIMIC models and structured means modeling to facilitate inference regarding latent construct means. He is past chair of the SEM special interest group of the American Educational Research Association. He also serves on the editorial board of a number of journals, including Structural Equation Modeling: A Multidisciplinary Journal. He contributed a chapter to the Festschrift for Prof. Jöreskog with Ralph Mueller.

Instructors of IRT workshops

	Susan Embretson & Steve Reise
	Susan Embretson is a professor of Psychology at the Georgia Institute of Technology. Her research interests concern psychometric models and their estimation, as well as the cognitive foundations for measurement. These efforts recently have been combined in studying the possibility of adaptive online generation of items (i.e., valid and optimally difficult items are created as the examinee takes the test). The research foundation that supports online adaptive testing includes 1) a cognitive design system model for test development, 2) the development of several confirmatory item response theory (IRT) models to include design features, 3) studies on the cognitive processing demands of several different item types, and 4) simulation studies on the impact of using predicted item parameters (i.e., from cognitive models) on estimated ability. She is the author (together with Steve Reise) Item Response Theory for Psychologists.
Steve Reise is a professor of Measurement and Psychometrics in the Department of Psychology at UCLA. His research interests include applications of IRT measurement models to personality assessment data and the analysis of person-fit - the degree to which individual data structures fit nomothetic models as embodied by item response theory or covariance structure models. He received his PhD in psychometrics from the University of Minnesota in 1990.