19 Introduccin a los procedimientos de escalamiento ptimo de datos categricos de SPSS

Lecturas recomendadas

Si desea obtener informacin general sobre las tcnicas de escalamiento ptimo consulte los siguientes textos: Barlow, R. E., D. J. Bartholomew, D. J. Bremner, y H. D. Brunk. 1972. Statistical inference under order restrictions. Nueva York: John Wiley and Sons. Benzcri, J. P. 1969. Statistical analysis as a tool to make patterns emerge from data. En: Methodologies of Pattern Recognition, S. Watanabe, ed. Nueva York: Academic Press, 3574. Bishop, Y. M., S. E. Feinberg, y P. W. Holland. 1975. Discrete multivariate analysis. Cambridge (Mass.): MIT Press. De Leeuw, J. 1984. The Gifi system of nonlinear multivariate analysis. En: Data Analysis and Informatics III, E. Diday, et al., ed., 415424. De Leeuw, J. 1990. Multivariate analysis with optimal scaling. En: Progress in Multivariate Analysis, S. Das Gupta, y J. Sethuraman, Editores. Calcuta: Indian Statistical Institute. De Leeuw, J., y J. Van Rijckevorsel. 1980. HOMALS and PRINCALSSome generalizations of principal components analysis. En: Data Analysis and Informatics, E. Diday, et al., ed. msterdam: North-Holland, 231242. De Leeuw, J., F. W. Young, y Y. Takane. 1976. Additive structure in qualitative data: An alternating least squares method with optimal scaling features. Psychometrika, 41, 471503. Gifi, A. 1990. Nonlinear multivariate analysis. Chichester: John Wiley and Sons. Heiser, W. J., y J. J. Meulman. 1995. Nonlinear methods for the analysis of homogeneity and heterogeneity. En: Recent Advances in Descriptive Multivariate Analysis, W. J. Krzanowski, ed. Oxford: Oxford University Press, 5189. Israels, A. 1987. Eigenvalue techniques for qualitative data. Leiden: DSWO Press. Krzanowski, W. J., y F. H. C. Marriott. 1994. Multivariate analysis: Part I, distributions, ordination and inference. Londres: Edward Arnold. Lebart, L., A. Morineau, y K. M. Warwick. 1984. Multivariate descriptive statistical analysis. Nueva York: John Wiley and Sons.

20 Captulo 1

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actualizaciones relajadas en Escalamiento multidimensional, 103 ajuste en Anlisis de correlacin cannica no lineal, 58 alfa de Cronbach en Anlisis de componentes principales categrico, 187 Anlisis de componentes principales categrico, 33, 41, 181, 197 almacenamiento de variables, 46 cuantificaciones, 189, 212 funciones adicionales del comando, 51 historial de iteraciones, 187 nivel de escalamiento ptimo, 36 puntos de categoras, 220 puntuaciones de los objetos, 191, 195, 218 resumen del modelo, 187, 195, 216 saturaciones en componentes, 193, 197, 216 Anlisis de correlacin cannica no lineal, 53, 5758, 237 centroides, 257 coordenadas de la categora, 256 cuantificaciones, 252 estadsticos, 53 funciones adicionales del comando, 60 grficos, 53 ponderaciones, 248 resumen de anlisis, 246 saturaciones en componentes, 248, 251