Evaluation on the Application of Factor Analysis Method in the Field of English Education in Korea

This paper evaluates the use of Factor Analysis (FA) in English education research in Korea and suggests improvements in methodology. A detailed coding protocol was used to review 179 FA cases from 12 major English education journals (2014-2023). The review identified several key issues, including small sample sizes and lenient criteria for sample size selection, insufficient reporting on data appropriateness and normality, confusion between principal component analysis and FA, overreliance on the Eigenvalue > 1 criterion for determining the number of factors, inappropriate factor rotation methods, inconsistency between factor rotation and extraction methods, inadequate reporting on factor loadings and cross loadings criteria, and excessive reliance on SPSS as a statistical tool for FA. This study provides specific guidelines for applying FA appropriately and reporting results accurately.

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Publication Details

Journal
English Teaching
Published
2024-09-30
DOI
https://doi.org/10.15858/engtea.79.3.202409.207
Citations
1
Primary Topic
Educational Systems and Policies
Type
article
Field-Weighted Citation Impact
0.78
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article

Evaluation on the Application of Factor Analysis Method in the Field of English Education in Korea

Myunghwan Hwang, So-Yeon Kim, Hyejin Kim, Hee-Kyung Lee et al.
1 citations
English Teaching
Educational Systems and Policies
0.78
article

Evaluation on the Application of Factor Analysis Method in the Field of English Education in Korea

Myunghwan Hwang, So-Yeon Kim, Hyejin Kim, Hee-Kyung Lee, Joohee Han
article en
1 citations

Abstract

This paper evaluates the use of Factor Analysis (FA) in English education research in Korea and suggests improvements in methodology. A detailed coding protocol was used to review 179 FA cases from 12 major English education journals (2014-2023). The review identified several key issues, including small sample sizes and lenient criteria for sample size selection, insufficient reporting on data appropriateness and normality, confusion between principal component analysis and FA, overreliance on the Eigenvalue > 1 criterion for determining the number of factors, inappropriate factor rotation methods, inconsistency between factor rotation and extraction methods, inadequate reporting on factor loadings and cross loadings criteria, and excessive reliance on SPSS as a statistical tool for FA. This study provides specific guidelines for applying FA appropriately and reporting results accurately.

English TeachingVol. 79(3)
Quality Education
Openalex Percentile: Top 21%
Educational Systems and Policies
0.78
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