Universität zu Köln

Seddig, Daniel and Leitgoeb, Heinz (2018). Approximate measurement invariance and longitudinal confirmatory factor analysis: concept and application with panel data. Surv. Res. Methods, 12 (1). S. 29 - 42. DUISBURG: EUROPEAN SURVEY RESEARCH ASSOCIATION. ISSN 1864-3361

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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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Seddig, Daniel UNSPECIFIED UNSPECIFIED UNSPECIFIED Leitgoeb, Heinz UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-202742
DOI:	10.18148/srm/2018.v12i1.7210
Journal or Publication Title:	Surv. Res. Methods
Volume:	12
Number:	1
Page Range:	S. 29 - 42
Date:	2018
Publisher:	EUROPEAN SURVEY RESEARCH ASSOCIATION
Place of Publication:	DUISBURG
ISSN:	1864-3361
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language FIT INDEXES; MODEL; ACQUIESCENCE; EQUIVALENCE; COVARIANCE; ACCEPTANCE; INFERENCE; VARIABLES; CONSTRUCT; VALUES Multiple languages Social Sciences, Mathematical Methods Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/20274