On Effect Size Measures for Nested Measurement Models

Autor/inn/en	Raykov, Tenko; DiStefano, Christine; Calvocoressi, Lisa; Volker, Martin
Titel	On Effect Size Measures for Nested Measurement Models
Quelle	In: Educational and Psychological Measurement, 82 (2022) 6, S.1225-1246 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Raykov, Tenko) ORCID (DiStefano, Christine)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/00131644211066845
Schlagwörter	Effect Size; Models; Measurement Techniques; Factor Analysis; Sample Size; Computer Software; Correlation; Error of Measurement + Suchen Sie Ihr Suchwort? Analogiemodell; Messtechnik; Faktorenanalyse; Korrelation; Messfehler
Abstract	A class of effect size indices are discussed that evaluate the degree to which two nested confirmatory factor analysis models differ from each other in terms of fit to a set of observed variables. These descriptive effect measures can be used to quantify the impact of parameter restrictions imposed in an initially considered model and are free from an explicit relationship to sample size. The described indices represent the extent to which respective linear combinations of the proportions of explained variance in the manifest variables are changed as a result of introducing the constraints. The indices reflect corresponding aspects of the impact of the restrictions and are independent of their statistical significance or lack thereof. The discussed effect size measures are readily point and interval estimated, using popular software, and their application is illustrated with numerical examples. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01