Stephen Stark

Professor

CONTACT

Office: CGS 426
Phone: 813/974-0850
Email

LINKS

Curriculum Vitae

EDUCATION

  • 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

RESEARCH

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.

SPECIALTY AREA

Industrial-Organizational

SELECTED PUBLICATIONS

(Bold authors were USF students when work began.)

Kumar, L.S., Tu, N., Joo, S.H., & Stark, S. (June 2025, in press). Detecting DIF with the Multi-Unidimensional Pairwise Preference Model: Lord’s Chi-square and IPR-NCDIF Methods. Applied Psychological Measurement.

Tu, N., Joo, S.H., & Stark, S. (June 2025, in press). Examining tradeoffs of exposure control and collateral information with multidimensional forced choice computerized adaptive testing. Behavior Research Methods, 57:207. DOI https://doi.org/10.3758/s13428-025-02712-4

Tu, N., Kumar, L.S, Joo, S.H., & Stark, S. (2024). Linking methods for multiunidimensional forced choice tests using the Multi-Unidimensional Pairwise Preference model. Applied Psychological Measurement, 48, 104-24.

Tu, N., Joo, S.H., Lee, P.S., & Stark, S. (2023). Comparison of parameter estimation approaches for Multi-Unidimensional Pairwise Preference tests. Behavior Research Methods, 55, 2764-86.

Joo, S.H., Lee, P., Park, J.Y., & Stark, S. (2023). Assessing dimensionality of the ideal point item response theory model using posterior predictive model checking. Organizational Research Methods, 26, 353-82.

Joo, S.H., Lee, P., & Stark, S. (2023). Modeling multidimensional forced choice measures with the Zinnes and Griggs pairwise preference item response theory model.  Multivariate Behavioral Research, 58, 241-61.

Joo, S.H., Lee, P.S., & Stark, S. (2022). Bayesian approaches for detecting differential item functioning using an ideal point item response theory model. Applied Psychological Measurement, 46, 98-115.

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.

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.

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.

Nye, C.D., Joo, S.H., Zhang, B., & Stark, S. (2020). A comparison of model-data fit methods for IRT models. Organizational Research Methods, 23, 457-86.