Comparison of Confirmatory Factor Analysis Estimation Methods on Binary Data

Abdullah KILIÇ; İbrahim UYSAL; Burcu ATAR

doi:https://doi.org/10.21449/ijate.660353

Article Details

Comparison of Confirmatory Factor Analysis Estimation Methods on Binary Data

Authors:

Abdullah KILIÇ | İbrahim UYSAL | Burcu ATAR

Publisher:

İzzet KARA

Main Topics:

Education

Journal:

International Journal of Assessment Tools in Education 2020 Vol.7 Issue 3, pp.451-487

Document Type:

Article

Publication Date:

9/2020

Document Language:

English

Document ID (Org No.):

2000718624

Frequency:

Quarterly

eISSN:

2148-7456

DOI:

https://doi.org/10.21449/ijate.660353

Abstract:

 


This Monte Carlo simulation study aimed to investigate confirmatory factor analysis (CFA) estimation methods under different conditions, such as sample size, distribution of indicators, test length, average factor loading, and factor structure. Binary data were generated to compare the performance of maximum likelihood (ML), mean and variance adjusted unweighted least squares (ULSMV), mean and variance adjusted weighted least squares (WLSMV), and Bayesian estimators. As a result of the study, it was revealed that increased average factor loading and sample size had a positive effect on the performance of the estimation methods. According to the research findings, it can be said that the methods are sufficient to estimate average factor loading and interfactor correlations, regardless of the estimation methods, in most of the conditions where the average factor loading is 0.7. In small sample sizes particularly, the interfactor correlation was underestimated for skewed indicator conditions. According to the findings of the study, although there is not the most accurate method in all conditions, it can be recommended to use ULSMV method because it performs adequately in more conditions.

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Article Details

Comparison of Confirmatory Factor Analysis Estimation Methods on Binary Data

Authors: Abdullah KILIÇ | İbrahim UYSAL | Burcu ATAR

Publisher: İzzet KARA

Main Topics: Education

Journal: International Journal of Assessment Tools in Education 2020 Vol.7 Issue 3, pp.451-487

Document Type: Article

Publication Date: 9/2020

Document Language: English

Document ID (Org No.): 2000718624

Frequency: Quarterly

eISSN: 2148-7456

DOI: https://doi.org/10.21449/ijate.660353

Issues

Authors:

Abdullah KILIÇ | İbrahim UYSAL | Burcu ATAR

Publisher:

İzzet KARA

Main Topics:

Education

Journal:

International Journal of Assessment Tools in Education 2020 Vol.7 Issue 3, pp.451-487

Document Type:

Article

Publication Date:

9/2020

Document Language:

English

Document ID (Org No.):

2000718624

Frequency:

Quarterly

eISSN:

2148-7456

DOI:

https://doi.org/10.21449/ijate.660353