Cited by 2Personality Traits and PsychologyMedical Education and AdmissionsHigher Education Research Studies

Personality Aspects and the Underprediction of Women’s Academic Performance

Zhou, You, Sackett, Paul R., Brothen, Thomas·2022·Applied Measurement in Education

Abstract

We sought to replicate prior findings that admissions tests’ underprediction of female college performance was driven in part by the omission of Big 5 personality factors from the predictive model, using 5,400 college students. We investigated gender differences in an elaborated model subdividing the Big 5 into ten aspects. We found differences at the aspect level that were not found at the factor level, and some aspects had unique relationships with academic outcomes. The findings demonstrated the effect of omitted variables on predictive bias.

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Crossref · 10.1080/08957347.2022.2155652

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  • Gender-based underprediction has been partly accounted for by Conscientiousness, study habits, and course-grading differences.

    “Applying this approach, gender-based underprediction has been partly accounted for by Conscientiousness, study habits, and course-grading differences (Keiser et al., 2016;Mattern et al., 2017;Zhou et al., 2022).”

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Authors
Zhou, Y., Sackett, P. R., & Brothen, T.
Affiliations
University of Minnesota (US)
Corresponding author
Zhou, You
Venue
Applied Measurement in Education
Published
2022-10-02
Volume
35
Issue
4
Pages
287-299
ISSN
  • 0895-7347 (ISSN-L)
  • 1532-4818
OpenAlex
W4311313272
Cited by
2
References
3
Citations by year
2026: 1 · 2024: 1
FWCI
0.23
Type
journal article
Language
en
Open access
closed
Locations
Applied Measurement in Education (publishedVersion)
Funders
National Science Foundation (NSF/IIS-1447788)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Medical Education and Admissions
  • Social Sciences › Education › Higher Education Research Studies
Keywords
Big Five personality traits, personality traits, academic performance, gender differences, predictive bias, omitted variables, replication, university students

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