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  • Title: Identifying significant predictors of student evaluations of faculty through hierarchical regression analysis.
    Author: Radmacher SA, Martin DJ.
    Journal: J Psychol; 2001 May; 135(3):259-68. PubMed ID: 11577968.
    Abstract:
    College teachers' ages and personalities, and students' course grades, gender, enrollment status, academic abilities, and ages were investigated as predictors of student evaluations of faculty. An evaluation form containing 7 items reflecting the personality trait of extraversion and 8 items reflecting teaching effectiveness was used to collect data from 351 undergraduates. Teachers' extraversion (.79) and teachers' ages (-.08) were correlated highest, and students' gender was correlated lowest (.08) with teaching effectiveness. Hierarchical regression revealed that teachers' extraversion was the only significant predictor of student evaluations (beta = .76, p < .001) after controlling for enrollment status, course grades, and student ages.
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