Item Factor Analysis: Current Approaches and Future Directions

Autor/inn/en	Wirth, R. J.; Edwards, Michael C.
Titel	Item Factor Analysis: Current Approaches and Future Directions
Quelle	In: Psychological Methods, 12 (2007) 1, S.58-79 (22 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1082-989X
Schlagwörter	Structural Equation Models; Markov Processes; Item Response Theory; Factor Analysis; Computation + Suchen Sie Ihr Suchwort? Markowscher Prozess; Item-Response-Theorie; Faktorenanalyse
Abstract	The rationale underlying factor analysis applies to continuous and categorical variables alike; however, the models and estimation methods for continuous (i.e., interval or ratio scale) data are not appropriate for item-level data that are categorical in nature. The authors provide a targeted review and synthesis of the item factor analysis (IFA) estimation literature for ordered-categorical data (e.g., Likert-type response scales) with specific attention paid to the problems of estimating models with many items and many factors. Popular IFA models and estimation methods found in the structural equation modeling and item response theory literatures are presented. Following this presentation, recent developments in the estimation of IFA parameters (e.g., Markov chain Monte Carlo) are discussed. The authors conclude with considerations for future research on IFA, simulated examples, and advice for applied researchers. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10