Measurement Invariance Testing with Alignment Method: Many Groups Comparison

It is necessary to examine the measurement invariance (MI) among groups in studies where different groups are compared by using a measurement instrument. Most of the studies, measurement invariance is tested with multiple group confirmatory factor analysis. This model applies many model adjustments b...

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Main Authors: Gözde Sırgancı, Gizem Uyumaz, Alperen Yandı
Format: Article
Language:English
Published: izzet kara 2020-12-01
Series:International Journal of Assessment Tools in Education
Subjects:
Online Access:https://dergipark.org.tr/tr/download/article-file/1035557
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author Gözde Sırgancı
Gizem Uyumaz
Alperen Yandı
author_facet Gözde Sırgancı
Gizem Uyumaz
Alperen Yandı
author_sort Gözde Sırgancı
collection DOAJ
description It is necessary to examine the measurement invariance (MI) among groups in studies where different groups are compared by using a measurement instrument. Most of the studies, measurement invariance is tested with multiple group confirmatory factor analysis. This model applies many model adjustments based on the modification indexes. Therefore, it is not practical due to too many large modification indexes while testing MI over many groups. Besides scalar model is a poor model fit when comparing many groups and so does not hold MI. In this study, the aim is to explain the basic concepts and processes of the alignment method which is offered as a new method for testing MI and illustrate an application on the real data set. In this study, measurement invariance among 56 countries including Turkey is tested with alignment method in order to set an example for researchers. For this purpose, the Instrumental Motivation Scale data, which is one of the psychological measurement instruments used in PISA 2015, was used. As a result of MG-CFA, it was found that configural invariance was ensured. The fit indexes of CFI and TLI were calculated as 0.982 and 0.946 respectively in this stage. After that, metric invariance was tested by considering the difference of fit indices obtained for the two stages. It was found that the metric invariance could not be provided. Alignment results show which countries hold MI and which do not. Besides it provides information which items have the most invariants for groups that hold MI.
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id doaj-art-2ea96b64dd48406fa1f39d68cc63fc18
institution OA Journals
issn 2148-7456
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publishDate 2020-12-01
publisher izzet kara
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series International Journal of Assessment Tools in Education
spelling doaj-art-2ea96b64dd48406fa1f39d68cc63fc182025-08-20T02:13:03Zengizzet karaInternational Journal of Assessment Tools in Education2148-74562020-12-017465767310.21449/ijate.714218618Measurement Invariance Testing with Alignment Method: Many Groups ComparisonGözde Sırgancı0https://orcid.org/0000-0003-4824-5413Gizem Uyumaz1https://orcid.org/0000-0003-0792-2289Alperen Yandı2https://orcid.org/0000-0002-1612-4249Yozgat Bozok UniversityGiresun UniversityBOLU ABANT İZZET BAYSAL ÜNİVERSİTESİIt is necessary to examine the measurement invariance (MI) among groups in studies where different groups are compared by using a measurement instrument. Most of the studies, measurement invariance is tested with multiple group confirmatory factor analysis. This model applies many model adjustments based on the modification indexes. Therefore, it is not practical due to too many large modification indexes while testing MI over many groups. Besides scalar model is a poor model fit when comparing many groups and so does not hold MI. In this study, the aim is to explain the basic concepts and processes of the alignment method which is offered as a new method for testing MI and illustrate an application on the real data set. In this study, measurement invariance among 56 countries including Turkey is tested with alignment method in order to set an example for researchers. For this purpose, the Instrumental Motivation Scale data, which is one of the psychological measurement instruments used in PISA 2015, was used. As a result of MG-CFA, it was found that configural invariance was ensured. The fit indexes of CFI and TLI were calculated as 0.982 and 0.946 respectively in this stage. After that, metric invariance was tested by considering the difference of fit indices obtained for the two stages. It was found that the metric invariance could not be provided. Alignment results show which countries hold MI and which do not. Besides it provides information which items have the most invariants for groups that hold MI.https://dergipark.org.tr/tr/download/article-file/1035557multi-group confirmatory factor analysisvaliditymodification indexesmulti-group confirmatoryfactor analysisvaliditymodification indexes
spellingShingle Gözde Sırgancı
Gizem Uyumaz
Alperen Yandı
Measurement Invariance Testing with Alignment Method: Many Groups Comparison
International Journal of Assessment Tools in Education
multi-group confirmatory factor analysis
validity
modification indexes
multi-group confirmatoryfactor analysis
validity
modification indexes
title Measurement Invariance Testing with Alignment Method: Many Groups Comparison
title_full Measurement Invariance Testing with Alignment Method: Many Groups Comparison
title_fullStr Measurement Invariance Testing with Alignment Method: Many Groups Comparison
title_full_unstemmed Measurement Invariance Testing with Alignment Method: Many Groups Comparison
title_short Measurement Invariance Testing with Alignment Method: Many Groups Comparison
title_sort measurement invariance testing with alignment method many groups comparison
topic multi-group confirmatory factor analysis
validity
modification indexes
multi-group confirmatoryfactor analysis
validity
modification indexes
url https://dergipark.org.tr/tr/download/article-file/1035557
work_keys_str_mv AT gozdesırgancı measurementinvariancetestingwithalignmentmethodmanygroupscomparison
AT gizemuyumaz measurementinvariancetestingwithalignmentmethodmanygroupscomparison
AT alperenyandı measurementinvariancetestingwithalignmentmethodmanygroupscomparison