Investigation of Cross-Cultural Measurement Invariance through Multi-Group Confirmatory Factor Analysis and Multi-Group Latent Class Analysis

Yıl 2025, Cilt: 33 Sayı: 4, 816 - 828, 11.10.2025

Fatma Coşkun , Hamide Deniz Gülleroğlu

https://doi.org/10.24106/kefdergi.1795829

Öz

Purpose: This study aims to examine cross-cultural measurement invariance using multi-group confirmatory factor analysis (MG-CFA) and multi-group latent class analysis (MG-LCA).
Design/Methodology/Approach: For this purpose, data obtained from the 'Students Like Learning Mathematics Scale' in the TIMSS 2019 study were used. The sample of the research was determined using the maximum variation sampling method. Measurement invariance analyses were conducted on 15 comparison groups formed by Singapore, Hong Kong, Japan, Norway, Turkey, and South Africa.
Findings: The MG-CFA results showed that strict measurement invariance was achieved only between Singapore-Hong Kong and Hong Kong-Norway. Between South Africa and Turkey, measurement invariance was observed at the level of structural invariance, while in other groups, it was achieved at the level of metric invariance. According to the MG-LCA results, measurement invariance was established at the partially homogeneous model level for some groups and at the heterogeneous model level for others.
Highlights: In MG-LCA, it was determined that for the cross-cultural comparisons where measurement invariance was achieved at the partially homogeneous model level, measurement invariance was largely achieved at the metric invariance level according to MG-CFA. The MG-CFA and MG-LCA approaches address measurement invariance from different perspectives. MG-CFA is a sample- and data-oriented approach, whereas MG-LCA is a person-centered approach. Using these two methods together provides more comprehensive insights into why measurement invariance could not be achieved.

Anahtar Kelimeler

Measurement invariance , Confirmatory factor analysis , Latent class analysis , TIMSS 2019 , Student surveys

Kültürlerarası Ölçme Değişmezliğinin Çok Gruplu Doğrulayıcı Faktör Analizi ve Çok Gruplu Örtük Sınıf Analiziyle İncelenmesi

Öz

Çalışmanın amacı: Bu çalışmada, kültürlerarası ölçme değişmezliğinin çok gruplu doğrulayıcı faktör analizi (ÇG-DFA) ve çok gruplu örtük sınıf analizi (ÇG-ÖSA) ile incelenmesi amaçlanmıştır.
Materyal ve Yöntem: Bu amaç doğrultusunda, TIMSS 2019 uygulamasında “Matematik Öğrenmeyi Sevme Ölçeği” ile elde edilen veriler kullanılmıştır. Araştırmanın örneklemi, maksimum çeşitlilik yöntemi ile belirlenmiştir. Ölçme değişmezliği analizleri Singapur, Hong Kong, Japonya, Norveç, Türkiye ve Güney Afrika Cumhuriyeti’nin oluşturduğu 15 karşılaştırma grubu üzerinde gerçekleştirilmiştir.
Bulgular: ÇG-DFA sonuçları, katı ölçme değişmezliğinin yalnızca Singapur-Hong Kong ve Hong Kong-Norveç arasında sağlandığını göstermiştir. Güney Afrika Cumhuriyeti ve Türkiye arasında ölçme değişmezliği yapısal değişmezlik düzeyinde kalırken; diğer gruplarda arasında ölçme değişmezliğinin metrik değişmezlik düzeyinde sağlandığı görülmüştür. ÇG-ÖSA sonuçlarına göre, bazı gruplar arasında kısmi homojen model, diğerleri arasında ise heterojen model düzeyinde ölçme değişmezliği sağlanmıştır.
Önemli Vurgular: ÇG-ÖSA’ da ölçme değişmezliğinin kısmi homojen model düzeyinde sağlandığı kültürlerarasında ÇG-DFA’ya göre ölçme değişmezliğinin büyük oranda metrik değişmezlik düzeyinde sağlandığı belirlenmiştir. ÇG-DFA ve ÇG-ÖSA yaklaşımları ölçme değişmezliğini farklı boyutlardan ele almaktadır. ÇG-DFA, örneklem ve veri odaklı bir yaklaşımken; ÇG-ÖSA birey merkezli bir yaklaşımdır. Bu iki yöntemin birlikte kullanılması, ölçme değişmezliğinin neden sağlanamadığı hakkında daha kapsamlı bilgiler sağlamaktadır.

Anahtar Kelimeler

Ölçme değişmezliği , Doğrulayıcı faktör analizi , Örtük sınıf analizi , TIMSS 2019 , Öğrenci anketleri

Kaynakça

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