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Developing Cross Cultural Measurement$
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Thanh V. Tran

Print publication date: 2009

Print ISBN-13: 9780195325089

Published to Oxford Scholarship Online: May 2009

DOI: 10.1093/acprof:oso/9780195325089.001.0001

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Testing Cross-Cultural Measurement Invariance

Testing Cross-Cultural Measurement Invariance

LISREL Applications

Testing Cross-Cultural Measurement InvarianceLISREL Applications LISREL Applications

(p.82) 7 Testing Cross-Cultural Measurement Invariance
Developing Cross Cultural Measurement

Thanh V. Tran

Oxford University Press

There has been a general consensus that multigroup (sample) confirmatory factor analysis offers a strong approach to evaluate cross-cultural equivalence of measurement properties. Researchers have proposed different procedural steps in the testing of measurement equivalence hypotheses, including the equivalence of the covariance matrices of the observed indicators and the equivalence of factor means among groups. Joreskog and Sorbom (2001) recommend the testing of five general hypotheses, including equivalence of covariance matrices of observed indicators of a scale or an instrument; equivalence of factor patterns of observed indicators; equivalence of factor loadings of observed indicators on their respective factors; equivalence of measurement errors of observed indicators; and equivalence of factor variances and covariance across groups. Invariance of factor pattern and factor loadings is sufficient to determine whether a construct can be measured across different cultural, national, or racial groups.

Keywords:   multigroup confirmatory factor analysis, LISREL confirmatory factor analysis, measurement equivalence hypotheses, assessing equivalence of factor structures, confirmatory factor analysis models

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