TY - JOUR
T1 - Personality Aspects and the Underprediction of Women’s Academic Performance
AU - Zhou, You
AU - Sackett, Paul R.
AU - Brothen, Thomas
N1 - Funding Information:
This work was supported by the National Science Foundation [NSF/IIS-1447788].
Publisher Copyright:
© 2022 Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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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U2 - 10.1080/08957347.2022.2155652
DO - 10.1080/08957347.2022.2155652
M3 - Article
AN - SCOPUS:85144215882
SN - 0895-7347
VL - 35
SP - 287
EP - 299
JO - Applied Measurement in Education
JF - Applied Measurement in Education
IS - 4
ER -