Educational Research Methodology (ERM) Department
Department Chair, Professor, and Director of the
Office of Assessment, Evaluation, and Research Services (OAERS)
Office: 256 SOE Building
- Mixture models
- Mixture Rasch models
- Diagnostic classification models (DCM)
- Structural equation modeling (SEM)
- Test theory
- Statistical programming
- Doctor of Psychology, Assessment and Measurement, James Madison University (2002)
- Master of Arts, General Psychology, James Madison University (1999)
- Bachelor of Arts, Psychology, University of Virginia (1997)
Dr. John Willse’s current research involves several approaches to latent trait modeling (e.g., structural equation modeling, item response theory, diagnostic classification, and mixture measurement models). Dr. Willse’s applied work involves using these methodologies in educational settings. He has served as a methodologist on several grants focusing on the evaluation of educational systems and on the development of assessment instruments. Dr. Willse is also active in the National Council on Measurement in Education (NCME).
Luo, X. & Willse, J. T. (2015). A Dual-purpose Rasch Model with Joint Maximum Likelihood Estimation. Journal of Applied Measurement, 15.
Dallas, A & Willse J. T. (2014). Survey Analysis with Mixture Rasch Models. Journal of Applied Measurement, 15, 394-404.
Edmunds, J. A., Willse, J. T., Arshavsky, N., & Dallas, A. (2013). Mandated engagement: The impact of Early College High Schools. Teacher’s College Record, 115, p. – http://www.tcrecord.org ID Number: 17044.
Willse, J. T. (2011). Mixture Rasch Models with Joint Maximum Likelihood Estimation. Educational and Psychological Measurement, 71, 5-19.