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Confirmatory Factor Analysis and Item Response Theory: Two Approaches for Exploring Measurement Invariance

Confirmatory Factor Analysis and Item Response Theory: Two Approaches for Exploring Measurement... This studyinvestigated the utility of confirmatory factor analysis (CFA) and item response theory(IRT) models for testing the comparability of psychological measurements. Both procedureswere used to investigate whether mood ratings collected in Minnesota and China werecomparable. Several issues were addressed. The first issue was that of establishing acommon measurement scale across groups, which involves full or partial measurementinvariance of trait indicators. It is shown that using CFA or IRT models, test items thatfunction differentially as trait indicators across groups need not interfere withcomparing examinees on the same trait dimension. Second, the issue of model fit wasaddressed. It is proposed that person-fit statistics be used to judge the practical fit ofIRT models. Finally, topics for future research are suggested. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Psychological Bulletin American Psychological Association

Confirmatory Factor Analysis and Item Response Theory: Two Approaches for Exploring Measurement Invariance

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References (75)

Publisher
American Psychological Association
Copyright
Copyright © 1993 American Psychological Association
ISSN
0033-2909
eISSN
1939-1455
DOI
10.1037/0033-2909.114.3.552
Publisher site
See Article on Publisher Site

Abstract

This studyinvestigated the utility of confirmatory factor analysis (CFA) and item response theory(IRT) models for testing the comparability of psychological measurements. Both procedureswere used to investigate whether mood ratings collected in Minnesota and China werecomparable. Several issues were addressed. The first issue was that of establishing acommon measurement scale across groups, which involves full or partial measurementinvariance of trait indicators. It is shown that using CFA or IRT models, test items thatfunction differentially as trait indicators across groups need not interfere withcomparing examinees on the same trait dimension. Second, the issue of model fit wasaddressed. It is proposed that person-fit statistics be used to judge the practical fit ofIRT models. Finally, topics for future research are suggested.

Journal

Psychological BulletinAmerican Psychological Association

Published: Nov 1, 1993

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