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Approximate measurement invariance and longitudinal confirmatory factor analysis : Concept and application with panel data

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Seddig, Daniel ; Leitgöb, Heinz:
Approximate measurement invariance and longitudinal confirmatory factor analysis : Concept and application with panel data.
In: Survey Research Methods. Bd. 12 (2018) Heft 1. - S. 29-41.
ISSN 1864-3361

Volltext

Link zum Volltext (externe URL): https://www.researchgate.net/publication/324485190...

Kurzfassung/Abstract

This article addresses the approximate approach to assess measurement invariance with (longitudinal) confirmatory factor analysis. Approximate measurement invariance uses zero-mean, small-variance Bayesian priors to allow minor differences in estimated parameters across time, while still maintaining comparability of the underlying constructs. The procedure is illustrated for the first time with panel data on young peoples’ preferences to maximize pleasure and enjoy life. Results indicate whereas the traditional approach of exact measurement invariance failed to establish scalar invariance across time and precluded comparisons of latent means, it was possible to establish approximate scalar invariance. Based on a monitoring procedure for model fit and convergence, a rather small prior variance was deemed sufficient to account for minor deviations of cross-time intercept differences from zero.

Weitere Angaben

Publikationsform:Artikel
Schlagwörter:Confirmatory factor analysis; Bayesian structural equation modeling; approximate
measurement invariance; panel data
Institutionen der Universität:Geschichts- und Gesellschaftswissenschaftliche Fakultät > Soziologie > Lehrstuhl für Soziologie und empirische Sozialforschung
DOI / URN / ID:10.18148/srm/2018.v12i1.7210
Open Access: Freie Zugänglichkeit des Volltexts?:Ja
Peer-Review-Journal:Ja
Titel an der KU entstanden:Ja
Eingestellt am:23. Okt 2018 13:16
Letzte Änderung:23. Okt 2018 13:16
URL zu dieser Anzeige:http://edoc.ku-eichstaett.de/22011/