Louis Hsu, Ph.D.
Dr. Hsu is a professor emeritus (retired) in the Fairleigh Dickinson School of Psychology, and a senior analyst at FutureWorks Systems. He obtained a Ph.D. in psychometrics from Fordham University.
He has taught various statistics, research design, clinical research methods, psychometrics, and psychological testing courses in the Fairleigh Dickinson University Ph.D. Program in Clinical Psychology.
He has published 48 articles (39 sole author, 3 first author, 6 co-author) in peer-reviewed journals, including Psychological Methods, Multivariate Behavioral Research, Structural Equation Modeling, Psychological Assessment, Psychological Bulletin, the Journal of Consulting and Clinical Psychology, the Journal of Abnormal Psychology, the Journal of Applied Psychology, the Journal of Personality Assessment, the Journal of Counseling Psychology, Understanding Statistics: Statistical Issues in Psychology, Education and the Social Sciences, Behavior Research and Therapy, the Journal of Applied Behavioral Science, the Journal of Psychopathology and Behavioral Assessment, the European Journal of Psychological Assessment, Behavior Assessment, Psychotherapy Research, Educational Researcher, Applied Psychological Measurement, the School Psychology Quarterly, and the Journal of School Psychology.
He also published chapters in 12 books, including A.M. Nezu and C.M/. Nezu’s (Eds.) “Evidence-based Outcome Research: A Practical Guide to Conducting Randomized Controlled Trials for Psychological Intervention (2008), and the American Psychological Association’s Methodological Issues and Strategies in Clinical Research (Kazdin (Ed.), 2003).
His consulting activities for FutureWorks Systems have included the development and evaluation of forecasting models to predict performance outcomes of recipients of WIA-funded services; Construction of value-added models to evaluate the effectiveness of services provided by Workforce Career Centers; Evaluation of the Department of Labor’s Federal Research and Evaluation Database software; Evaluation of statistical criteria used by the federal government’s Department of Labor to set regional, state and local WIA performance targets.
He has also provided extensive consulting services concerning the selection, use and interpretation of data analysis models (e.g., regression models, ANOVA, ANCOVA, MANOVA, and MANCOVA models, item response theory models, hierarchical linear models, hierarchical generalized linear models, structural equation models) in observational, quasi-experimental and experimental educational designs.