Meta-Analysis of Scale Reliability Using Latent Variable Modeling

Autor/inn/en	Raykov, Tenko; Marcoulides, George A.
Titel	Meta-Analysis of Scale Reliability Using Latent Variable Modeling
Quelle	In: Structural Equation Modeling: A Multidisciplinary Journal, 20 (2013) 2, S.338-353 (16 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1070-5511
DOI	10.1080/10705511.2013.769396
Schlagwörter	Meta Analysis; Reliability; Structural Equation Models; Error of Measurement; Intervals; Simulation; Measurement Techniques + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Reliabilität; Messfehler; Simulation program; Simulationsprogramm; Messtechnik
Abstract	A latent variable modeling approach is outlined that can be used for meta-analysis of reliability coefficients of multicomponent measuring instruments. Important limitations of efforts to combine composite reliability findings across multiple studies are initially pointed out. A reliability synthesis procedure is discussed that is based on examination of measurement and reliability invariance, and proceeds with combining scale reliability coefficients across studies when these invariance conditions hold. Point and interval estimation of a common scale reliability coefficient if existing is then described, which is furnished as a by-product of the procedure. The proposed method is illustrated with a numerical example. (Contains 1 table and 3 footnotes.) (As Provided).
Anmerkungen	Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10