Reference: | Bartholomew, D. J. and Knott, M. (1999). Latent Variable Models and Factor Analysis, Oxford: Oxford Univ. Press.
Benzecri, J. -P. et al. (1973). L’Analyse des Donnees. Tome (vol.) 1: La Taxinomie. Tome 2: L’Analyse des Correspondances. Dunod, Paris.
Benzecri, J. -P. (1977). Histoire et prehistoire de l’analyse des donnees. 5-L’analyse des correspondances. Cahiers de l’Analyse des Donnees, 2, 9-40.
Clausen, S.-E. (1998). Applied Correspondence Analysis, Sage Publications, Inc.
Everitt, B. S. (1984). An Introduction to Latent Variable Models, Chapman & Hall, London.
Fisher, R. A. (1940). The precision of discriminant functions. Ann. Eugen., 10, 422-429.
Gifi, A. (1981). “Nonlinear Multivariate Analysis.” Department of Data Theory, University of Leiden, The Netherlands.
Gilula, Z. (1979). Singular Value Decomposition of Probability Matrices: Probabilistic Aspects of Latent Dichotomous Variables, Biometrika, 66, 339-44.
Gilula, Z. (1984). On Some Similarities Between Canonical Correlation Models and Latent Class Models for Two-way Contingency Tables, Biometrika, 71, 523-29.
Goodman, L. A. (1974). Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models, Biometrika, 61, 215-31.
Goodman, L. A. (1978). Analyzing qualitative/categorical data: Log-linear models and latent structure analysis. Cambridge, MA: Abt.
Goodman, L. A. (1987). New Methods for Analyzing the Intrinsic Character of Qualitative Variables Using Cross-classified Data, American Journal of Sociology, 93, 529-83.
Greenacre, M. J. (1984). Theory and Applications of Correspondence Analysis, Academic Press, London.
Guttman, L. (1941). The quantification of a class of attributes: A theory and method of scale construction. In “The Prediction of Personal Adjustment” (Horst, P., ed), 319-348. Social Science Research Council, New York.
Guttman, L. (1950). The principal components of scale analysis. In “Measurement and Prediction” (Stouffer, S. A., Guttman, L., Suchman, E. A., Lazarsfeld, P. F., Star, S. A. and Clausen, J. A., eds). Princeton University Press, Princeton.
Guttman, L. (1959). Metricizing rank-ordered and ordered data for a linear factor analysis. Sankhy , 21, 257-268.
Haberman, S. J. (1974). Log-linear models for frequency tables derived by indirect observation. Annals of Statistics, 2, 911-924.
Haberman, S. J. (1976). Iterative scaling procedures for log-linear models for frequency data derived by indirect observation. Proceedings of the American Statistical Association 1975: Statistical Computing Section ,45-50.
Haberman, S. J. (1979). Analysis of qualitative data. Vol 2. New developments. New York: Academic Press.
Heinen, T. (1996). Latent Class and Discrete Latent Trait Models: Similarities and Differences, Advanced Quantitative Techniques in the Social Sciences, Sage Publications, Thousand Oaks, CA.
Hirschfeld, H. O. (1935). A connection between correlation and contingency. Cambridge Philosophical Soc. Proc. (Math. Proc.) , 31, 520-524.
Lazarsfeld, P. F. (1950a). The logical and mathematical foundation of latent structure analysis. In S. Stouffer (Ed.), Measurement and prediction, 362-412. Princeton, NJ: Princeton University Press.
Lazarsfeld, P. F. (1950b). The interpretation and mathematical foundation of latent structure analysis. In S. Stouffer (Ed.), Measurement and prediction, 413-472. Princeton, NJ: Princeton University Press.
Lazarsfeld, P. F., & Henry, N. W. (1968). Latent structure analysis. Boston: Houghton Mifflin.
McCutcheon, A. L. (1987). Latent Class Analysis, Sage Publications, Inc.
Tenenhaus, M., and Young, F. W. (1985). An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis, and other methods for quantifying categorical multivariate data. Psychometrika, 50, 91-119.
van der Heijden, P. G. M., Gilula, Z. and van der Ark, L. A. (1999). An Extended Study Into The Relationship Between Correspondence Analysis And Latent Class Analysis, Sociological Methodology. |