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SSW Instructors

"I have been to the University of Michigan's statistics institute, and I think this one was just as great but at a much greater bargain! Dr. Thompson is fantastic and did an excellent job of trying to incorporate examples relevant to attendees respective fields and disciplines!"

E. Lisako J. McKyer, Assistant Professor,
Texas A&M University
2007 multivariate analysis course participant

Dr. Matt Fritz

Matt Fritz is an assistant professor in the Department of Psychology at Virginia Polytechnic Institute and State University. His primary research interests include longitudinal mediation models, linear and nonlinear growth modeling, and how to apply these models to prevention research. He is a member of the Prevention Science Methodology Group and his work has appeared in Psychological Science, Journal of Experimental Psychology: Human Perception and Performance, Behavior Research Methods, Annual Review of Psychology, among others. He teaches graduate-level statistics courses including research methods, multiple regression, and multivariate statistics.

Dr. Bob Hall

Bob Hall is an associate professor of educational psychology at Texas A&M University. He teaches undergraduate courses in introductory educational statistics and graduate courses in experimental design and cognitive psychology. He has published over 50 research articles and reviews in education and psychology, edited one textbook in cognitive psychology, and co-authored one textbook in finite mathematics. He is co-director of the Educational Research and Evaluation Laboratory in the Department of Educational Psychology and currently is a contract evaluator for a U.S. Department of Education Early Reading First grant awarded to Bryan ISD and Texas A&M. His instructional interests are in the design and evaluation of software and technology for introductory statistics courses. His current research is focused on modeling changes in relative expertise in beginning statistics to indicators of performance, self efficacy, confidence and effort.

Dr. Oi-man Kwok

Oi-man Kwok is an assistant professor of educational psychology at Texas A&M University and currently serves as co-PI for two large scale longitudinal studies funded by the Institute of Education Sciences (IES) and the National Institute of Child Health and Human Development (NICHD). His research projects have included the application of structural equation modeling (SEM) and multi-level modeling techniques and examination of measurement invariance in different ethnic groups. He also has co-authored several published articles and chapters on longitudinal design, measurement and analysis issues. Kwok's work has appeared in peer-reviewed journals, including Journal of Consulting and Clinical Psychology, Journal of Clinical Child and Adolescent Psychology, Journal of Educational Psychology, Journal of School Psychology, Multivariate Behavioral Research, Psychological Methods, and Quality of Life Research. He teaches graduate-level advanced statistics courses including SEM and hierarchical linear modeling (HLM). He also has occasionally taught HLM workshops.

Dr. James McNamara

James McNamara is a professor at Texas A&M University, where he holds graduate faculty appointments in the Department of Statistics (College of Science) and in the Department of Educational Psychology (College of Education and Human Development). He is co-PI of a five-year National Science Foundation research grant and has served as an expert witness on statistical evidence presented in U.S. federal courts. He has authored a basic statistics text on surveys and experiments, co-authored a measurement and evaluation text, and published over 80 research articles. He currently teaches graduate-level quantitative courses in meta-analysis, logistics regression, survey sampling designs and nonparametric statistical methods. In 1999, he received the Texas A&M Faculty Distinguished Award for Teaching.

Dr. Roger Millsap

Roger Millsap is a professor in the Department of Psychology at Arizona State University and is a faculty member in the quantitative psychology doctoral program in that department. He teaches graduate coursework in psychometrics, statistics and structural equation modeling. He is a past editor of Multivariate Behavioral Research and is the current editor of Psychometrika. He has over 50 published journal articles and six book chapters. He has served as president for Division Five of the American Psychological Association, for the Society of Multivariate Experimental Psychology and for the Psychometric Society. His current research interests concern the detection of bias in psychological measurement and other problems in latent variable modeling.

Dr. Tony Onwuegbuzie

Anthony Onwuegbuzie is a professor in the Department of Educational Measurement and Research at Sam Houston State University. He teaches courses in qualitative research, quantitative research and mixed methods. He has secured more than 200 refereed journal articles and book chapters. His articles have been published in journals such as The Lancet, Educational Researcher, American Educational Research Journal, Journal of Mixed Methods Research, and Educational and Psychological Measurement. He has made more than 350 presentations and keynote addresses at regional, national and international conferences. He currently serves as editor of Educational Researcher and co-editor of Research in the Schools. He has received numerous outstanding paper awards, including the Literati Club Award for Excellence in 2003. Onwuegbuzie is lead author of Library anxiety: Theory, research, and applications and co-author of two forthcoming mixed methods books. His contributions have been especially influential in increasing the visibility and reputation of the mixed methods research field.

Dr. Bruce Thompson

Bruce Thompson is a distinguished professor and research fellow of educational psychology and a distinguished professor of library sciences at Texas A&M University. In addition, he serves as adjunct professor of family and community medicine at the Baylor College of Medicine (Houston). He is co-editor of the teaching, learning and human development section of the American Educational Research Journal and past editor of Educational and Psychological Measurement, the series, Advances in Social Science Methodology and two other journals. He is the author/editor of nearly 200 articles and several books, including the recently published Foundations of Behavioral Statistics and Exploratory and Confirmatory Factor Analysis. His contributions have been especially influential in his field, placing a greater emphasis on effect size reporting and interpretation and promoting improved understanding of score reliability.

Dr. Victor Willson

Victor Willson is a professor of educational psychology at Texas A&M University, where he teaches graduate courses in experimental design, structural equation modeling, psychometrics and growth modeling. He has published over 150 research articles and reviews in education and psychology and has authored or co-authored five books. His research interests focus on child development in psychological processes related to learning and children's reading development, as well as time-related statistical methodology in the social sciences. He publishes regularly in Structural Equation Modeling as well as in many other journals in education and psychology.