Recent Methods for the Study of Measurement Invariance with Many Groups: Alignment and Random Effects

Autor/inn/en	Muthén, Bengt; Asparouhov, Tihomir
Titel	Recent Methods for the Study of Measurement Invariance with Many Groups: Alignment and Random Effects
Quelle	In: Sociological Methods & Research, 47 (2018) 4, S.637-664 (28 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124117701488
Schlagwörter	Measurement; Factor Analysis; Item Response Theory; Statistical Analysis; Groups; Maximum Likelihood Statistics; Bayesian Statistics; Foreign Countries + Suchen Sie Ihr Suchwort? Messverfahren; Faktorenanalyse; Item-Response-Theorie; Statistische Analyse; Ausland
Abstract	This article reviews and compares recently proposed factor analytic and item response theory approaches to the study of invariance across groups. Two methods are described and contrasted. The alignment method considers the groups as a fixed mode of variation, while the random-intercept, random-loading two-level method considers the groups as a random mode of variation. Both maximum likelihood and Bayesian analyses are applied. A survey of close to 50,000 subjects in 26 countries is used as an illustration. In addition, the two methods are studied by Monte Carlo simulations. A list of considerations for choosing between the two methods is presented. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01