Multilevel Factor Analysis for Students' Evaluations of Teaching

被引：2

作者：

Sengewald, Erik ^{[1
]}

Vetterlein, Anja ^{[2
]}

机构：

[1] Bundesagentur Arbeit, D-90478 Nurnberg, Germany

[2] Univ Jena, Inst Psychol, D-07743 Jena, Germany

来源：

DIAGNOSTICA | 2015年 / 61卷 / 03期

关键词：

higher education; multilevel models; confirmatory factor analysis; course quality; students' evaluation of teaching; MODEL; RATINGS; LEVEL; FIT;

D O I：

10.1026/0012-1924/a000140

中图分类号：

B849 [应用心理学];

学科分类号：

040203 ;

摘要：

The measurement model of questionnaires for students' evaluations of teaching (SET) is typically evaluated with confirmatory factor analysis (CFA) using either student ratings or class means. However, the modelfit is often inacceptable (Marsh et al., 2009). We compare the traditional CFA approaches of SETs with the multilevel confirmatory factor analysis (ML-CFA) based on an empirical example of 183 334 student ratings. The application of a ML-CFA to SETs is strongly recommended due to the results. We emphasize the advantages of a ML-CFA for measuring course quality and discuss applications for research in higher education.

引用

页码：116 / 123

页数：8

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