Cómo realizar e interpretar un análisis factorial exploratorio utilizando SPSS
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Universidad de León
info
ISSN: 2013-2255
Year of publication: 2019
Volume: 12
Issue: 2
Type: Article
More publications in: REIRE: revista d'innovació i recerca en educació
Abstract
In educational research, it’s common to use multivariate analysis to study the information collected on a large number of variables in a single sample of individuals. There are two main types of multivariate analysis: that which uses methods of dependency, dividing the analysed variables into two groups and determining whether the set of independent variables affects all dependent variables and how; and analysis using methods of interdependency, whose objective is to analyse the relationships between all the variables at the same level. Exploratory factor analysis is an example of this second type and one of its objectives is to provide simple but adequate analyses of the relationships between a large number of variables by explaining these in terms of a smaller number of unobserved latent variables or “factors”, losing as little as possible of the predictive power of the data. This article describes how to perform a factor analysis with SPSS Statistics and interpret its results.
Bibliographic References
- Bandalos, D. L., y Finney, S. J. (2010). Factor Analysis: Exploratory and Confirmatory. En G. R. Hancock y R. O. Mueller (eds.), Reviewer’s guide to quantitative methods. Nueva York: Routledge.
- Cea, M. A. (2004). Análisis multivariable. Teoría y práctica en la investigación social. Madrid: Síntesis.
- Harman, H. H. (1980). Análisis factorial moderno. Madrid: Saltés.
- Izquierdo, I., Olea, J., y Abad, F. J. (2014). Exploratory factor analysis in validation studies: Uses and recommendations. Psicothema, 26(3), 395–400. https://www.redalyc.org/pdf/727/72731656015.pdf
- Kaiser, H. F. (1970). A second generation little jiffy. Psychometrika, 35(4), 401–415. https://doi.org/10.1007/BF02291817
- Lee, S. Y., y Jennrich, R. I. (1979). A study of algorithms for covariance structure analysis with specific comparisons using factor analysis. Psychometrika, 44(1), 99–113. https://doi.org/10.1007/BF02293789
- 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, 30(3), 1151–1169. http://dx.doi.org/10.6018/analesps.30.3.199361
- Pérez, C. (2008). Técnicas de análisis multivariante de datos. Aplicaciones con SPSS. Madrid: Pearson, Prentice Hall.
- Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., y Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. http://doi.org/10.1037/0021-9010.88.5.879