Research Description
Development, application, and evaluation of quantitative methods in industrial/organizational psychology. Use of multimedia computer technology such as interactive video to assess social and interpersonal skills.
Education
Ph.D. from the University of Illinois
Additional Campus Affiliations
Dean, School of Labor and Employment Relations
Professor, School of Labor and Employment Relations
Highlighted Publications
Drasgow, F. (Ed.) (2015). Technology and Testing: Improving Educational and Psychological Measurement. (NCME Applications of Educational Measurement and Assessment). Taylor and Francis Inc. https://doi.org/10.4324/9781315871493
Recent Publications
Kirkendall, C. D., Nye, C. D., Rounds, J., Drasgow, F., Chernyshenko, O. S., & Stark, S. (2020). Adaptive vocational interest diagnostic: Informing and improving the job assignment process. Military Psychology, 32(1), 91-100. https://doi.org/10.1080/08995605.2019.1652480
Nye, C. D., Chernyshenko, O. S., Stark, S., Drasgow, F., Phillips, H. L., Phillips, J. B., & Campbell, J. S. (2020). More than g: Evidence for the Incremental Validity of Performance-Based Assessments for Predicting Training Performance. Applied Psychology, 69(2), 302-324. https://doi.org/10.1111/apps.12171
Cao, M., & Drasgow, F. (2019). Does Forcing Reduce Faking? A Meta-Analytic Review of Forced-Choice Personality Measures in High-Stakes Situations. Journal of Applied Psychology. https://doi.org/10.1037/apl0000414
Lim, Y. S., & Drasgow, F. (2019). Assessing the Dimensionality of the Latent Attribute Space in Cognitive Diagnosis Through Testing for Conditional Independence. In M. Wiberg, S. Culpepper, R. Janssen, D. Molenaar, & J. González (Eds.), Quantitative Psychology - 83rd Annual Meeting of the Psychometric Society, 2018 (pp. 183-194). (Springer Proceedings in Mathematics and Statistics; Vol. 265). Springer New York LLC. https://doi.org/10.1007/978-3-030-01310-3_17
Lim, Y. S., & Drasgow, F. (2019). Conditional Independence and Dimensionality of Cognitive Diagnostic Models: a Test for Model Fit. Journal of Classification, 36(2), 295-305. https://doi.org/10.1007/s00357-018-9287-5