Cross-validation on the same sample: An unfounded practice
PDF (Español (España))

Keywords

Factor analysis, Statistical; Methodology; Psychometrics; Statistics as Topic; Validation Studies as Topic Análisis Factorial; Metodología; Estadística como Asunto; Estudios de Validación como Asunto; Psicometría

How to Cite

Fernández-Hernández, J.-L., Herranz-Hernández, P., & Segovia-Torres, L. (2022). Cross-validation on the same sample: An unfounded practice. R.E.M.A. Revista electrónica De metodología Aplicada, 24(1), 38–40. https://doi.org/10.17811/rema.24.1.2022.38-40

Abstract

Although the performance of an exploratory and confirmatory factor analysis on the same data set is largely rejected, its partitioning is recommended to obtain a cross-validation. This is not very understandable, since the same criticism that can be made to the application of the first method is valid for the second, since the only differences that could be detected are those that arise from the randomization process in the division of the sample. A cross validation requires independent samples, not the same sample divided into two parts.

https://doi.org/10.17811/rema.24.1.2022.38-40
PDF (Español (España))

References

Fokkema, M. y Greiff, S. (2017). How Performing PCA and CFA on the Same Data Equals Trouble. European Journal of Psychological Assessment, 33(6), 399-402. https://doi.org/10.1027/1015-5759/a000460

Goretzko, D., Pham, T. T. H. y Bühner, M. (2019). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current Psychology, 1-12. https://doi.org/10.1007/s12144-019-00300-2

Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A. y Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. Anales de Psicología/Annals of Psychology, 30(3), 1151-1169. https://doi.org/10.6018/analesps.30.3.199361

Morgado, F. F., Meireles, J. F., Neves, C. M., Amaral, A. y Ferreira, M. E. (2017). Scale development: ten main limitations and recommendations to improve future research practices. Psicologia: Reflexão e Crítica, 30, 1-20. https://doi.org/10.1186/s41155-016-0057-1

Schmitt, T. A., Sass, D. A., Chappelle, W., y Thompson, W. (2018). Selecting the “best” factor structure and moving measurement validation forward: An illustration. Journal of Personality Assessment, 100(4), 345-362. https://doi.org/10.1080/00223891.2018.1449116

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (c) 2021 R.E.M.A. Revista electrónica de metodología aplicada

Downloads

Download data is not yet available.