Multilevel Structural Equation Models for the Analysis of Comparative Data on Educational Performance

Autor/inn/en	Goldstein, Harvey; Bonnet, Gerard; Rocher, Thierry
Titel	Multilevel Structural Equation Models for the Analysis of Comparative Data on Educational Performance
Quelle	In: Journal of Educational and Behavioral Statistics, 32 (2007) 3, S.252-286 (35 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998606298042
Schlagwörter	Foreign Countries; Structural Equation Models; Markov Processes; Factor Analysis; Comparative Analysis; Computation; Reading Achievement; Statistical Analysis; Student Evaluation; International Studies; Secondary School Students; Program for International Student Assessment + Suchen Sie Ihr Suchwort? Ausland; Markowscher Prozess; Faktorenanalyse; Leseleistung; Statistische Analyse; Schulnote; Studentische Bewertung; Internationaler Studiengang; Sekundarschüler
Abstract	The Programme for International Student Assessment comparative study of reading performance among 15-year-olds is reanalyzed using statistical procedures that allow the full complexity of the data structures to be explored. The article extends existing multilevel factor analysis and structural equation models and shows how this can extract richer information from the data and provide better fits to the data. It shows how these models can be used fully to explore the dimensionality of the data and to provide efficient, single-stage models that avoid the need for multiple imputation procedures. Markov Chain Monte Carlo methodology for parameter estimation is described. (Contains 11 tables and 1 note.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10