Doubly Latent Multilevel Analyses of Classroom Climate: An Illustration

被引:185
作者
Morin, Alexandre J. S. [1 ]
Marsh, Herbert W. [1 ]
Nagengast, Benjamin [2 ]
Scalas, L. Francesca [3 ]
机构
[1] Univ Western Sydney, Penrith, NSW 2751, Australia
[2] Univ Tubingen, Tubingen, Germany
[3] Univ Cagliari, I-09124 Cagliari, Italy
关键词
achievement; classroom climate; doubly latent multilevel structural equation models; self-efficacy; INFORMATION MAXIMUM-LIKELIHOOD; GOODNESS-OF-FIT; MISSING DATA; SELF-CONCEPT; MODELS; FULL; PERFORMANCE; VARIABLES; IMPACT; ACHIEVEMENT;
D O I
10.1080/00220973.2013.769412
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Many classroom climate studies suffer from 2 critical problems: They (a) treat climate as a student-level (L1) variable in single-level analyses instead of a classroom-level (L2) construct in multilevel analyses; and (b) rely on manifest-variable models rather than on latent-variable models that control measurement error at L1 and L2, and sampling error in the aggregation of L1 ratings to form L2 constructs. On the basis of an analysis of 2,541 students in Grades 5 or 6 from 89 classrooms, the authors demonstrate doubly latent multilevel structural equation models that overcome both of these problems. The results show that L2 classroom climate (a higher-order factor representing classroom mastery goal orientation, challenge, and teacher caring) had positive effects on self-efficacy and achievement. The authors conclude with a discussion of related issues (e.g., the meaning of L2 constructs vs. L1 residuals, the dimensionality of climate constructs at L2) and guidelines for future research.
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页码:143 / 167
页数:25
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