Stephen Stark

Stephen Stark

Professor and Chair, Psychology Department


Office: PCD 4136
Phone: 813/974-0352


Curriculum Vitae


  • Ph.D. I-O Psychology University of Illinois at Urbana-Champaign, 2002
  • M.A. I-O Psychology University of Illinois at Urbana-Champaign, 1999
  • B.S. Physics University of New Orleans, 1991


My research focuses on the development and application of psychometric methods to practical problems in industrial organizational and educational settings. I have worked with university faculty and practitioners to develop and improve tests measuring constructs, such as job performance, personality, and cognitive ability. My colleagues and I have published papers on computer adaptive testing, differential item and test functioning (measurement bias), and issues related to faking in personality assessment. Courses I have taught at the university level include psychometrics, multivariate statistics, industrial organizational psychology, and introduction to social psychology.




(Bold authors were USF students when work began.)

Joo, S.H., Lee, P., & Stark, S. (2021, in press). Assessing dimensionality of the ideal point item response theory model using posterior predictive model checking. Organizational Research Methods.

Joo, S.H., Lee, P., & Stark, S. (2021, in press). The Zinnes-Griggs multiunidimensional pairwise preference model. Multivariate Behavioral Research.

Joo, S.H., Lee, P.S., & Stark, S. (2021, in press). Bayesian approaches for detecting differential item functioning using an ideal point item response theory model. Applied Psychological Measurement.

Joo, S.H., Lee, P., & Stark, S. (2022). The explanatory generalized graded unfolding model: Incorporating collateral information to improve latent trait estimation accuracy. Applied Psychological Measurement, 46, 3-18.

Wang, Y., Kim, E.S., Joo, S.H., Chun, S., Alamri, A., Lee., P., & Stark, S. (2022). Reconsidering multilevel latent class models: Can level-2 latent classes affect item response probabilities. Journal of Experimental Education, 90, 158-72.

Lee, P., Joo, S.H., & Stark, S. (2021). Detecting DIF with the Thurstonian IRT model. Organizational Research Methods, 24, 739-771.

Ng, V., Lee, P., Moon-Ho, R.H., Kuykendall, L., Stark, S., & Tay, L.S. (2021). The development and validation of a multidimensional forced-choice format character measure: Testing the Thurstonian IRT approach. Journal of Personality Assessment, 21, 224-237.

Wang, Y., Kim, E.S., Ferron, J., Dedrick, R., Tan, T., & Stark, S. (2021). Testing measurement invariance across unobserved groups: The role of covariates in factor mixture modeling. Educational and Psychological Measurement, 81, 61-89.

Joo, S.H., Lee, P., & Stark, S. (2020). Adaptive testing with the GGUM-RANK multidimensional forced choice model: Comparison of pair, triplet, and tetrad scoring. Behavior Research Methods, 52, 561-72.

Thurston, A.J., Campbell, J. S., & Stark, S. (2020). Modeling the relationships between combat experience and posttraumatic stress disorder factors. Military Behavioral Health, 8, 201-211.