Factorial Invariance in Multiple Populations: A Multiple Testing Procedure

Autor/inn/en	Raykov, Tenko; Marcoulides, George A.; Millsap, Roger E.
Titel	Factorial Invariance in Multiple Populations: A Multiple Testing Procedure
Quelle	In: Educational and Psychological Measurement, 73 (2013) 4, S.713-727 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164412451978
Schlagwörter	Testing; Statistical Analysis; Factor Analysis; Statistical Significance; Evaluation Methods; Equations (Mathematics); Hypothesis Testing + Suchen Sie Ihr Suchwort? Testdurchführung; Testen; Statistische Analyse; Faktorenanalyse; Equations; Mathematics; Gleichungslehre; Hypothesenprüfung; Hypothesentest
Abstract	A multiple testing method for examining factorial invariance for latent constructs evaluated by multiple indicators in distinct populations is outlined. The procedure is based on the false discovery rate concept and multiple individual restriction tests and resolves general limitations of a popular factorial invariance testing approach. The discussed method controls the overall significance level and is associated with higher power than conventional multiple testing procedures. The procedure avoids the necessity to choose a reference variable in applications of latent variable modeling for testing factorial invariance. The outlined method permits location of factorial invariance violations, in addition to its examination for a given set of construct indicators, and is illustrated with a numerical example. (Contains 4 tables and 1 note.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10