Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use?
- PMID: 32255218
- DOI: 10.1111/jan.14377
Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use?
References
REFERENCES
-
- Allen, G. I., & Maletic-Savatic, M. (2011). Sparse non-negative generalized PCA with applications to metabolomics. Bioinformatics, 27(21), 3029-3035. https://doi.org/10.1093/bioinformatics/btr522
-
- Basto, M., & Pereira, J. M. (2012). An SPSS R-menu for ordinal factor analysis. Journal of Statistical Software, 46(4), 1-29. https://doi.org/10.18637/jss.v046.i04
-
- Beavers, A. S., Lounsbury, J. W., Richards, J. K., Huck, S. W., Skolits, G. J., & Esquivel, S. L. (2013). Practical considerations for using exploratory factor analysis in educational research. Practical Assessment, Research, and Evaluation, 18(1). https://doi.org/10.7275/qv2q-rk76
-
- Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6. https://doi.org/10.3389/fpubh.2018.00149
-
- Bro, R., & Smilde, A. K. (2014). Principal component analysis. Analytical Methods, 6(9), 2812-2831. https://doi.org/10.1039/C3AY41907J
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