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Testing measurement invariance across groups

Applications in cross-cultural research.

Bibliographic Data

ID23364698
AuthorsTaciano L Milfont (0000-0001-6838-6307, Victoria University of Wellington), Ronald Fischer (0000-0002-3055-3955, Victoria University of Wellington)
Year2010
Volume3
Issue1
Pages111-130
Publication date2010-06-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational journal of psychological research (JOURNAL)
Journal identifiersISSN: 2011-2084 • E-ISSN: 2011-7922
PublisherUniversidad de San Buenaventura (PUBLISHER • CO)
DOI10.21500/20112084.857
OpenAlexW2150782970
LanguageEN
Citations received428
References cited38

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.

Cognitive psychology · Confirmatory factor analysis · Construct (python library) · Econometrics · Equivalence (formal languages) · LISREL · Measurement invariance · Pure mathematics · Statistics · Structural equation modeling · Computer Science · Cultural Differences and Values · Mathematics · Psychology · Psychometric Methodologies and Testing · Social and Intergroup Psychology · Social Psychology

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Unique citing works428
Citations per year26,75
Citation span2010 - 2026 (17)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 390

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