Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use?

doi:10.1111/jan.14377

Editorial

. 2020 Aug;76(8):1886-1889.

doi: 10.1111/jan.14377. Epub 2020 May 4.

Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use?

Mousa Alavi¹, Denis C Visentin², Deependra K Thapa², Glenn E Hunt³, Roger Watson⁴, Michelle Cleary²

Affiliations

¹ Department of Psychiatric Nursing, School of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran.
² College of Health and Medicine, University of Tasmania, Sydney, NSW, Australia.
³ Discipline of Psychiatry, Concord Clinical School, The University of Sydney, Sydney, NSW, Australia.
⁴ Faculty of Health Sciences, University of Hull, Hull, UK.

PMID: 32255218
DOI: 10.1111/jan.14377

Editorial

Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use?

Mousa Alavi et al. J Adv Nurs. 2020 Aug.

. 2020 Aug;76(8):1886-1889.

doi: 10.1111/jan.14377. Epub 2020 May 4.

Authors

Mousa Alavi¹, Denis C Visentin², Deependra K Thapa², Glenn E Hunt³, Roger Watson⁴, Michelle Cleary²

Affiliations

¹ Department of Psychiatric Nursing, School of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran.
² College of Health and Medicine, University of Tasmania, Sydney, NSW, Australia.
³ Discipline of Psychiatry, Concord Clinical School, The University of Sydney, Sydney, NSW, Australia.
⁴ Faculty of Health Sciences, University of Hull, Hull, UK.

PMID: 32255218
DOI: 10.1111/jan.14377

No abstract available

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References

REFERENCES

1. 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
1. 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
1. 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
1. 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
1. 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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[1] 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

[2] 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

[3] 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

[4] 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

[5] 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

[6] 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

[7] 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

[8] 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

[9] Bro, R., & Smilde, A. K. (2014). Principal component analysis. Analytical Methods, 6(9), 2812-2831. https://doi.org/10.1039/C3AY41907J

[10] 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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Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use?

Affiliations

Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use?

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