Multigroup CFA and Alignment Approaches for Testing Measurement Invariance and Factor Score Estimation: Illustration With the Schoolwork-Related Anxiety Survey Across Countries and Gender

Within large-scale international studies, the utility of survey scores to yield meaningful comparative data hinges on the degree to which their item parameters demonstrate measurement invariance (MI) across compared groups (e.g., culture). To-date, methodological challenges have restricted the abili...

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Main Author: Jason C. Immekus
Format: Article
Language:English
Published: PsychOpen GOLD/ Leibniz Institute for Psychology 2021-03-01
Series:Methodology
Subjects:
Online Access:https://meth.psychopen.eu/index.php/meth/article/view/2281
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author Jason C. Immekus
author_facet Jason C. Immekus
author_sort Jason C. Immekus
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description Within large-scale international studies, the utility of survey scores to yield meaningful comparative data hinges on the degree to which their item parameters demonstrate measurement invariance (MI) across compared groups (e.g., culture). To-date, methodological challenges have restricted the ability to test the measurement invariance of item parameters of these instruments in the presence of many groups (e.g., countries). This study compares multigroup confirmatory factor analysis (MGCFA) and alignment method to investigate the MI of the schoolwork-related anxiety survey across gender groups within the 35 Organisation for Economic Co-operation and Development (OECD) countries (gender × country) of the Programme for International Student Assessment 2015 study. Subsequently, the predictive validity of MGCFA and alignment-based factor scores for subsequent mathematics achievement are examined. Considerations related to invariance testing of noncognitive instruments with many groups are discussed.
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spelling doaj.art-f7e8f768685d4e3e93b8a04054135cc32023-01-02T20:11:41ZengPsychOpen GOLD/ Leibniz Institute for PsychologyMethodology1614-22412021-03-01171223810.5964/meth.2281meth.2281Multigroup CFA and Alignment Approaches for Testing Measurement Invariance and Factor Score Estimation: Illustration With the Schoolwork-Related Anxiety Survey Across Countries and GenderJason C. Immekus0Department of Educational Leadership, Evaluation, & Organizational Development, University of Louisville, Louisville, KY, USAWithin large-scale international studies, the utility of survey scores to yield meaningful comparative data hinges on the degree to which their item parameters demonstrate measurement invariance (MI) across compared groups (e.g., culture). To-date, methodological challenges have restricted the ability to test the measurement invariance of item parameters of these instruments in the presence of many groups (e.g., countries). This study compares multigroup confirmatory factor analysis (MGCFA) and alignment method to investigate the MI of the schoolwork-related anxiety survey across gender groups within the 35 Organisation for Economic Co-operation and Development (OECD) countries (gender × country) of the Programme for International Student Assessment 2015 study. Subsequently, the predictive validity of MGCFA and alignment-based factor scores for subsequent mathematics achievement are examined. Considerations related to invariance testing of noncognitive instruments with many groups are discussed.https://meth.psychopen.eu/index.php/meth/article/view/2281multigroup cfaalignment methodmeasurement invarianceschoolwork-related anxietycross-national measurement
spellingShingle Jason C. Immekus
Multigroup CFA and Alignment Approaches for Testing Measurement Invariance and Factor Score Estimation: Illustration With the Schoolwork-Related Anxiety Survey Across Countries and Gender
Methodology
multigroup cfa
alignment method
measurement invariance
schoolwork-related anxiety
cross-national measurement
title Multigroup CFA and Alignment Approaches for Testing Measurement Invariance and Factor Score Estimation: Illustration With the Schoolwork-Related Anxiety Survey Across Countries and Gender
title_full Multigroup CFA and Alignment Approaches for Testing Measurement Invariance and Factor Score Estimation: Illustration With the Schoolwork-Related Anxiety Survey Across Countries and Gender
title_fullStr Multigroup CFA and Alignment Approaches for Testing Measurement Invariance and Factor Score Estimation: Illustration With the Schoolwork-Related Anxiety Survey Across Countries and Gender
title_full_unstemmed Multigroup CFA and Alignment Approaches for Testing Measurement Invariance and Factor Score Estimation: Illustration With the Schoolwork-Related Anxiety Survey Across Countries and Gender
title_short Multigroup CFA and Alignment Approaches for Testing Measurement Invariance and Factor Score Estimation: Illustration With the Schoolwork-Related Anxiety Survey Across Countries and Gender
title_sort multigroup cfa and alignment approaches for testing measurement invariance and factor score estimation illustration with the schoolwork related anxiety survey across countries and gender
topic multigroup cfa
alignment method
measurement invariance
schoolwork-related anxiety
cross-national measurement
url https://meth.psychopen.eu/index.php/meth/article/view/2281
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