Samuel McAbee

Assistant Professor


Ph.D. I/O Psychology, Rice University, 2014
M.S. I/O Psychology, California State University, Long Beach, 2011
B.A. Psychology, University of California, Irvine, 2007

PHONE: 419-372-4337
OFFICE: Room 236, Psychology Building


Research Interests:

  • Personnel Selection
  • Psychological Measurement
  • Individual Differences
  • Research Methodology and Design

My research interests can be distilled into two general areas of pursuit: the study of individual differences in personality and cognitive ability, and the methods used to measure these psychological characteristics in applied contexts; and identifying the various psychological characteristics that contribute to our understanding of human performance (e.g., job performance, college student success).

My first area of interest involves the development and evaluation of psychological measures for use in applied settings (e.g., workplace, education, military). My research in this area has examined issues related to the development and application of short alternatives to longer psychological measures across a number of substantive domains (e.g., personality traits, working memory capacity), and the application of bifactor models to personality measures. Other interests include the examination of measurement invariance/equivalence and subgroup bias in psychological measures, and the commensurability of alternative measures of personality for predicting academically and organizationally relevant performance outcomes.

My second area of interest involves the study of personality in workplace and educational contexts. Issues include the use of broad versus narrow personality traits for prediction, the use of observer reports to inform selection and admissions decisions, and how distal personality factors influence student and employee outcomes.

Accepting students? Yes.

Selected Publications:

McAbee, S. T., Casillas, A., Way, J. D., & *Guo, F. (2019). The HEXACO model in education and work: Current applications and future directions. Zeitschrift für Psychologie, 227, 174-185. doi:10.1027/2151-2604/a000376

Biderman, M. D., McAbee, S. T., Chen, Z. J., & Hendy, N. T. (2018). Assessing the evaluative content of personality questionnaires using bifactor models. Journal of Personality Assessment, 100, 375-388. doi:10.1080/00223891.2017.1406362

McAbee, S. T., Landis, R. S., & *Burke, M. I. (2017). Inductive reasoning: The promise of big data. Human Resource Management Review, 27, 277-290. doi:10.1016/j.hrmr.2016.08.005

McAbee, S. T., & Connelly, B. S. (2016). A multi-rater framework for studying personality: The Trait-Reputation-Identity Model. Psychological Review, 123, 569-591. doi:10.1037/rev0000035

Oswald, F. L., McAbee, S. T., Redick, T. S., & Hambrick, D. Z. (2015). The development of a short domain-general measure of working memory capacity. Behavior Research Methods47, 1343-1355. doi:10.3758/s13428-014-0543-2

McAbee, S. T., Oswald, F. L., & Connelly, B. S. (2014). Bifactor models of personality and college student performance: A broad vs. narrow view. European Journal of Personality, 28, 604-619. doi:10.1002/per.1975

McAbee, S. T., & Oswald, F. L. (2013). The criterion-related validity of personality measures for predicting GPA: A meta-analytic validity competition. Psychological Assessment25, 532-544. doi:10.1037/a0031748

Courses Taught:

Graduate Courses

  • PSYC 6670: Statistical Theory I (Correlation & Regression)
  • PSYC 7540: Criterion Theory & Development
  • PSYC 7560: Organizational Staffing
  • PSYC 7800: Research Methods in I-O Psychology
  • PSYC 7800: Psychometrics