A Commentary on the Relationship between Model Fit and Saturated Path Models in Structural Equation Modeling Applications

Autor/inn/en	Raykov, Tenko; Lee, Chun-Lung; Marcoulides, George A.; Chang, Chi
Titel	A Commentary on the Relationship between Model Fit and Saturated Path Models in Structural Equation Modeling Applications
Quelle	In: Educational and Psychological Measurement, 73 (2013) 6, S.1054-1068 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164413487905
Schlagwörter	Structural Equation Models; Goodness of Fit; Path Analysis; Correlation; Data Analysis; Predictor Variables + Suchen Sie Ihr Suchwort? Pfadanalyse; Korrelation; Auswertung; Prädiktor
Abstract	The relationship between saturated path-analysis models and their fit to data is revisited. It is demonstrated that a saturated model need not fit perfectly or even well a given data set when fit to the raw data is examined, a criterion currently frequently overlooked by researchers utilizing path analysis modeling techniques. The potential of individual case residuals for saturated model fit assessment is revealed by showing how they can be used to examine local fit, as opposed to overall fit, to sense possible model deficiencies or misspecifications, and to suggest model improvements when needed. The discussion is illustrated with several numerical examples. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10