Diagnosis for Covariance Structure Models by Analyzing the Path

Autor/inn/en	Yuan, Ke-Hai; Kouros, Chrystyna D.; Kelley, Ken
Titel	Diagnosis for Covariance Structure Models by Analyzing the Path
Quelle	In: Structural Equation Modeling: A Multidisciplinary Journal, 15 (2008) 4, S.564-602 (39 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1070-5511
Schlagwörter	Computation; Structural Equation Models; Statistical Bias; Factor Structure; Change + Suchen Sie Ihr Suchwort? Faktorenstruktur; Wandel
Abstract	When a covariance structure model is misspecified, parameter estimates will be affected. It is important to know which estimates are systematically affected and which are not. The approach of analyzing the path is both intuitive and informative for such a purpose. Different from path analysis, analyzing the path uses path tracing and elementary numerical analysis to identify affected parameters when a 1-way or 2-way arrow in a path diagram is omitted. It not only characterizes how a misspecification affects model parameters but also facilitates a good understanding of the relation among different parts of the model. This article introduces and studies this technique and, for commonly used models, provides detailed analysis to identify the directions of change for various model parameters. Examples based on real data show that the technique of analyzing the path can reliably predict the direction of change in parameter estimates even when the true model is unknown. Conditions that interfere with the results are also discussed and advice is provided for its proper application. (Contains 6 figures, 8 tables and 5 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