Comparative analysis of varimax and Promax rotation methods in exploratory factor analysis

This study compares two widely used rotation techniques in exploratory factor analysis (EFA): Varimax, an orthogonal method, and Promax, an oblique method. Sample data from 394 students were analyzed using JASP software to evaluate the two methods. Both rotations identified latent constructs influencing academic achievement after factor extraction via principal axis factoring. Although both methods retained the same number of factors, the pattern and magnitude of variable loadings differed. The Kaiser-Meyer-Olkin (KMO) test indicated superior reliability for Promax, which achieved significantly higher sampling adequacy (MSA = 0.882) compared to Varimax (MSA = 0.500). Bartlett’s test confirmed the suitability of factor analysis by revealing significant interrelationships among variables (p < 0.001). Promax results were easier to interpret, revealing moderately positive inter-factor correlations and explaining 59% of the cumulative variance, compared to 56% for Varimax. Conversely, Varimax produced uncorrelated factors, ideal when factor independence is desired. Parallel analysis supported the retention of three factors for both methods. Path diagrams further illustrated Promax’s performance in capturing related constructs. Overall, the findings suggest that Promax outperforms Varimax in handling interrelated constructs, offering higher reliability and accounting for a greater proportion of variance. In contrast, Varimax, based on the assumption of factor independence, provides a clearer but less nuanced interpretation.

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Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-05-06
DOI
https://doi.org/10.55214/25768484.v9i5.6929
Citations
15
Primary Topic
Scientific Research Methodologies and Applications
Type
article
Field-Weighted Citation Impact
12.26

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article

Comparative analysis of varimax and Promax rotation methods in exploratory factor analysis

Abdalla Ahmed, Walla Maruod
15 citations
Edelweiss Applied Science and Technology
Scientific Research Methodologies and Applications
12.26
article

Comparative analysis of varimax and Promax rotation methods in exploratory factor analysis

Abdalla Ahmed, Walla Maruod
article en
15 citations

Abstract

This study compares two widely used rotation techniques in exploratory factor analysis (EFA): Varimax, an orthogonal method, and Promax, an oblique method. Sample data from 394 students were analyzed using JASP software to evaluate the two methods. Both rotations identified latent constructs influencing academic achievement after factor extraction via principal axis factoring. Although both methods retained the same number of factors, the pattern and magnitude of variable loadings differed. The Kaiser-Meyer-Olkin (KMO) test indicated superior reliability for Promax, which achieved significantly higher sampling adequacy (MSA = 0.882) compared to Varimax (MSA = 0.500). Bartlett’s test confirmed the suitability of factor analysis by revealing significant interrelationships among variables (p < 0.001). Promax results were easier to interpret, revealing moderately positive inter-factor correlations and explaining 59% of the cumulative variance, compared to 56% for Varimax. Conversely, Varimax produced uncorrelated factors, ideal when factor independence is desired. Parallel analysis supported the retention of three factors for both methods. Path diagrams further illustrated Promax’s performance in capturing related constructs. Overall, the findings suggest that Promax outperforms Varimax in handling interrelated constructs, offering higher reliability and accounting for a greater proportion of variance. In contrast, Varimax, based on the assumption of factor independence, provides a clearer but less nuanced interpretation.

Edelweiss Applied Science and TechnologyVol. 9(5)
Al Baha University (SA)
King Faisal University
Openalex Percentile: Top 1%
Scientific Research Methodologies and Applications
12.26
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