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Journals / Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi / 2021 / Cilt: 12 - Sayı: 4

An Application of Latent Class Analysis for TIMSS 2015 Data: Detecting Heterogeneous Subgroups

Fatıma Münevver SAATÇİOĞLU
Pages
321–335
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of the LCA, supporting absolute and relative model fit indices through AvePP and entropy values, it was concluded that the data obtained from both countries fit the three-class model.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aimed to investigate the heterogeneity of the TIMSS 2015 data from Turkey and the USA 8th grade math.
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Key Findings & Data:Latent Class Analysis (LCA) was used to determine the latent classes that cause heterogeneity in the data by using categorical observed variables.
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Conclusion & Impact:As a result of the LCA, supporting absolute and relative model fit indices through AvePP and entropy values, it was concluded that the data obtained from both countries fit the three-class model.
🔬Design:Modeling & Simulation
📍Scope:2015 Verileri
⚙️Variables:Latent class analysis · TIMSS 2015 · heterogeneity

Abstract

This study aimed to investigate the heterogeneity of the TIMSS 2015 data from Turkey and the USA 8th grade math. Latent Class Analysis (LCA) was used to determine the latent classes that cause heterogeneity in the data by using categorical observed variables. As a result of the LCA, supporting absolute and relative model fit indices through AvePP and entropy values, it was concluded that the data obtained from both countries fit the three-class model. The latent class probabilities and conditional response probabilities were examined for homogeneity and degree of segregation of the classes from each other. Based on the findings, it is recommended that the assumption of homogeneity in international evaluations be evaluated empirically with LCA. With this article, an example of the application of LCA is provided, and it is believed to be useful for researchers in the context of education and psychological evaluation.

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Cite This Article

SAATÇİOĞLU, F. M. (2022). An Application of Latent Class Analysis for TIMSS 2015 Data: Detecting Heterogeneous Subgroups. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi, Cilt: 12 - Sayı: 4, 321–335. https://ajindex.com/articles/497172

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