Trait complex, cognitive ability, and domain knowledge predictors of baccalaureate success, STEM persistence, and gender differences.

By Phillip L. Ackerman, R. Kanfer, Margaret E. Beier. 2013

139 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e86acc3d6225d28211c7ef1c9bbcab79673bee51

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Citations in the corpus

• Why are women underrepresented in Computer Science? Gender differences in stereotypes, self-efficacy, values, and interests and predictors of future CS course-taking and grades (2014, background): “Students with greater openness to experiences had better graduation rates, better grades, and stronger persistence rates than students scoring lower on this personality dimension (Ackerman, Kanfer, & Beier, 2013).”
• Why Are Some STEM Fields More Gender Balanced Than Others? (2017, unknown): “Controlling for gender gaps in self-efficacy in the U.S. reduces gender gaps in both recruitment (Correll, 2001; Ehrlinger & Dun-ning, 2003) and retention (Ackerman, Kanfer, & Beier, 2013) in science and mathematics.”