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A checklist for testing measurement invariance

Bibliographic Data

ID23313293
AuthorsRens Van De Schoot (0000-0001-7736-2091, Vaal University of Technology, corresponding author), Peter Lugtig (0000-0001-8548-6828, Utrecht University), Joop Hox, Joop J Hox (Utrecht University)
Year2012
Volume9
Issue4
Pages486-492
Publication date2012-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueEuropean Journal of Developmental Psychology (JOURNAL)
Journal identifiersISSN: 1740-5610 • E-ISSN: 1740-5629
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/17405629.2012.686740
OpenAlexW2166159176
LanguageEN
Citations received601
References cited8

The analysis of measurement invariance of latent constructs is important in research across groups, or across time. By establishing whether factor loadings, intercepts and residual variances are equivalent in a factor model that measures a latent concept, we can assure that comparisons that are made on the latent variable are valid across groups or time. Establishing measurement invariance involves running a set of increasingly constrained structural equation models, and testing whether differences between these models are significant. This paper provides a step-by-step guide to analysing measurement invariance.

Algorithm · Checklist · Cognitive psychology · Confirmatory factor analysis · Econometrics · Factor analysis · Latent variable · Latent variable model · Measurement invariance · Residual · Set (abstract data type) · Statistics · Structural equation modeling · Variable (mathematics) · Behavioral and Psychological Studies · Computer Science · Mathematics · Psychology · Psychometric Methodologies and Testing · Qualitative Comparative Analysis Research · Social Psychology

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Unique citing works601
Citations per year46,23
Citation span2013 - 2026 (14)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 555

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