The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Testing measurement invariance across groups: applications in cross-cultural research.
Open accessAbstract
Researchers often compare groups of individuals on psychological variables. When comparing groups an assumption is made that the instrument measures the same psychological construct in all groups. If this assumption holds, the comparisons are valid and differences/similarities between groups can be meaningfully interpreted. If this assumption does not hold, comparisons and interpretations are not fully meaningful. The establishment of measurement invariance is a prerequisite for meaningful comparisons across groups. This paper first reviews the importance of equivalence in psychological research, and then the main theoretical and methodological issues regarding measurement invariance within the framework of confirmatory factor analysis. A step-by-step empirical example of measurement invariance testing is provided along with syntax examples for fitting such models in LISREL.
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“…is “uninformative with respect to the particular source of measurement inequivalence” (Vandenberg & Lance, 2000, p. 36), because contemporary guidelines now omit this first step (Milfont & Fischer, 2010; van de Schoot, Lugtig, & Hox, 2012), and because this test is rarely performed in practice.”
BackgroundSusceptibility to misinformation about COVID-19 around the world
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How General Is Trust in “Most People”? Solving the Radius of Trust Problem
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The Very Efficient Assessment of Need for Cognition: Developing a Six-Item Version
Lins de Holanda Coelho, G., H. P. Hanel, P., & J. Wolf, L. (2020) · Assessment · doi:10.1177/1073191118793208 · Cited by 358
Metadata
- Authors
- L. Milfont, T., & Fischer, R.
- Venue
- International Journal of Psychological Research
- Publisher
- Universidad de San Buenaventura
- Published
- 2010-06-30
- Volume
- 3
- Issue
- 1
- Pages
- 111-130
- ISSN
- 2011-2084 (ISSN-L)
- 2011-7922
- OpenAlex
- W2150782970
- Cited by
- 1,565
- References
- 11
- FWCI
- 27.03
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
