The Rediscovery of Bifactor Measurement Models

Autor/in	Reise, Steven P.
Titel	The Rediscovery of Bifactor Measurement Models
Quelle	In: Multivariate Behavioral Research, 47 (2012) 5, S.667-696 (30 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
DOI	10.1080/00273171.2012.715555
Schlagwörter	Models; Factor Structure; Factor Analysis; Correlation; Computation; Item Response Theory; Structural Equation Models; Psychometrics; Adolescents; Measures (Individuals); Anxiety; Depression (Psychology) + Suchen Sie Ihr Suchwort? Analogiemodell; Faktorenstruktur; Faktorenanalyse; Korrelation; Item-Response-Theorie; Psychometry; Psychometrie; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Messdaten; Angst
Abstract	Bifactor latent structures were introduced over 70 years ago, but only recently has bifactor modeling been rediscovered as an effective approach to modeling "construct-relevant" multidimensionality in a set of ordered categorical item responses. I begin by describing the Schmid-Leiman bifactor procedure (Schmid & Leiman, 1957) and highlight its relations with correlated-factors and second-order exploratory factor models. After describing limitations of the Schmid-Leiman, 2 newer methods of exploratory bifactor modeling are considered, namely, analytic bifactor (Jennrich & Bentler, 2011) and target bifactor rotations (Reise, Moore, & Maydeu-Olivares, 2011). Then I discuss limited- and full-information estimation approaches to confirmatory bifactor models that have emerged from the item response theory and factor analysis traditions, respectively. Comparison of the confirmatory bifactor model to alternative nested confirmatory models and establishing parameter invariance for the general factor also are discussed. Finally, important applications of bifactor models are reviewed. These applications demonstrate that bifactor modeling potentially provides a solid foundation for conceptualizing psychological constructs, constructing measures, and evaluating a measure's psychometric properties. However, some applications of the bifactor model may be limited due to its restrictive assumptions. (Contains 7 footnotes and 7 tables.) (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