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Identifying significant predictors of student evaluations of faculty through hierarchical regression analysis
Authors:Radmacher S A  Martin D J
Institution:Department of Psychology, Missouri Western State College, St. Joseph 64507, USA. radmache@mwsc.edu
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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