Doubly Latent Multilevel Analyses of Classroom Climate: An Illustration

Autor/inn/en	Morin, Alexandre J. S.; Marsh, Herbert W.; Nagengast, Benjamin; Scalas, L. Francesca
Titel	Doubly Latent Multilevel Analyses of Classroom Climate: An Illustration
Quelle	In: Journal of Experimental Education, 82 (2014) 2, S.143-167 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0973
DOI	10.1080/00220973.2013.769412
Schlagwörter	Classroom Environment; Hierarchical Linear Modeling; Structural Equation Models; Grade 5; Grade 6; Elementary School Students; Error of Measurement; Sampling; Factor Analysis; Self Efficacy; Mathematics Achievement; Educational Research; California + Suchen Sie Ihr Suchwort? Klassenklima; Unterrichtsklima; School year 05; 5. Schuljahr; Schuljahr 05; School year 06; 6. Schuljahr; Schuljahr 06; Messfehler; Faktorenanalyse; Self-efficacy; Selbstwirksamkeit; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Bildungsforschung; Pädagogische Forschung; Kalifornien
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10