European Journal of Developmental Psychology· 2012Q2
A checklist for testing measurement invariance
- 2,060citations
- Q2SCImago
- 2012year
Short summary
This paper provides a step-by-step guide and checklist for analyzing measurement invariance in latent constructs, crucial for valid cross-group or cross-time comparisons.
AI-generated from the title and abstract; the full text is not read.
Key points
- Measurement invariance is critical for valid comparisons of latent constructs across groups or time.
- Establishing invariance involves testing increasingly constrained structural equation models.
- The paper provides a step-by-step guide and checklist for conducting these analyses.
- Valid comparisons require equivalent factor loadings, intercepts, and residual variances.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. European Journal of Developmental Psychology, 2012 · DOI ↗
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Field: Management Science and Operations Research
Management Science and Operations ResearchDecision Sciences