Analiza Componentelor Principale pentru date Categoriale (CATPCA)
Keywords:
non-parametric analysis, nonparametric factor analysis, principal componentsAbstract
In many cases, the basic assumptions of parametric exploratory factor analysis are not met and yet even in these cases, the technique is used. There is the risk of inducing significant errors that could invalidate the factor analysis model. To avoid such situations, we can use another technique, available for ordinal or even nominal variables, less known and used, called "Principal Components Analysis for Categorical Data". This article aims at an introduction to these methods of data analysis. The article begins with a fictional example illustrating the configuration and analysis of results provided by SPSS for Windows for CATPCA (Categorical Principal Components Analysis).
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References
Meulman, J., Heiser, W., & SPSS, Inc. (2007). PASW Categories 18. Illinois: SPSS Inc.
Opariuc-Dan, C. (2009). Statistică aplicată în științele socio-umane. Noțiuni de bază. Statistici univariate. Cluj-Napoca: ASCR.
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