A checklist for testing measurement invariance.

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)486-492
Number of pages7
JournalEuropean Journal of Developmental Psychology
Volume9
Issue number4
DOIs
Publication statusPublished - 2012

Keywords

  • Measurement invariance
  • Validity
  • Confirmatory factor analysis

Fingerprint

Dive into the research topics of 'A checklist for testing measurement invariance.'. Together they form a unique fingerprint.

Cite this