Interval Estimation of Revision Effect on Scale Reliability via Covariance Structure Modeling

Autor/in	Raykov, Tenko
Titel	Interval Estimation of Revision Effect on Scale Reliability via Covariance Structure Modeling
Quelle	In: Structural Equation Modeling: A Multidisciplinary Journal, 16 (2009) 3, S.539-555 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1070-5511
Schlagwörter	Intervals; Computation; Reliability; Change; Measures (Individuals); Revision (Written Composition) + Suchen Sie Ihr Suchwort? Reliabilität; Wandel; Messdaten; Korrektur
Abstract	A didactic discussion of a procedure for interval estimation of change in scale reliability due to revision is provided, which is developed within the framework of covariance structure modeling. The method yields ranges of plausible values for the population gain or loss in reliability of unidimensional composites, which results from deletion or addition of scale components. The obtained confidence intervals can also be used for testing conventional as well as minimum effect hypotheses about the associated increment or drop in reliability. The approach yields as a by-product point and interval estimates for reliability of any instrument version, and is illustrated with two examples. (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