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通过层次回归分析确定学生对教师评价的重要预测因素。

Identifying significant predictors of student evaluations of faculty through hierarchical regression analysis.

作者信息

Radmacher S A, Martin D J

机构信息

Department of Psychology, Missouri Western State College, St. Joseph 64507, USA.

出版信息

J Psychol. 2001 May;135(3):259-68. doi: 10.1080/00223980109603696.

DOI:10.1080/00223980109603696
PMID: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.

摘要

研究了大学教师的年龄和个性,以及学生的课程成绩、性别、入学状态、学术能力和年龄,将其作为学生对教师评价的预测因素。使用一份包含7个反映外向性人格特质的项目和8个反映教学效果的项目的评价表,从351名本科生中收集数据。教师的外向性(0.79)与教学效果的相关性最高,教师年龄(-0.08)次之,而学生性别与教学效果的相关性最低(0.08)。分层回归分析表明,在控制了入学状态、课程成绩和学生年龄后,教师的外向性是学生评价的唯一显著预测因素(β = 0.76,p < 0.001)。

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