William Skorupski is an associate professor of Research, Evaluation, Measurement, and Statistics in the School of Education at the University of Kansas. He teaches courses in item response theory (IRT), classical test theory, computer programming, ANOVA, regression, and multivariate statistics. His research focuses on applications of IRT, the evaluation of standard setting processes, the use of Bayesian statistics for solving practical measurement problems, and the implementation and estimation of innovative measurement models. Dr. Skorupski received his Ed.D. in Psychometric Methods from the University of Massachusetts Amherst in 2004.
Dr. Skorupski specializes in item response theory and applications, psychometric methods, scaling and test score equating.
Ed.D., Psychometric Methods, University of Massachusetts Amherst
B.S., Educational Research and Psychology, Bucknell University
EPSY 811:Analysis of Variance
EPSY 905:Multivariate Analysis
EPSY 921:Theory and Applications of Educational Measurement
EPSY 922:Item Response Theory
My primary research interests are in applications of Item Response Theory, including test score scaling, equating, and robust methods of parameter estimation. Additional areas of research interest include the use of Bayesian statistics for solving practical measurement problems and the implementation and evaluation of innovatie measurement models, including computer-based tests and performance assessments