The CORRESP Procedure

Benzécri, J. P. (1973), L’Analyse des Données: T. 2, l’Analyse des Correspondances, Paris: Dunod.

Benzécri, J. P. (1979), Sur le Calcul des taux d’inertie dans l’analyse d’un questionaire, Addendum et erratum á [BIN.MULT.], Cahiers de l’Analyse des Données 4, 377–378.

Burt, C. (1950), “The Factorial Analysis of Qualitative Data,” British Journal of Psychology, 3, 166–185.

Carroll, J. D., Green, P. E., and Schaffer, C. M. (1986), “Interpoint Distance Comparisons in Correspondence Analysis,” Journal of Marketing Research, 23, 271–280.

Fisher, R. A. (1940), “The Precision of Discriminant Functions,” Annals of Eugenics, 10, 422–429.

Gifi, A. (1990), Nonlinear Multivariate Analysis, New York: John Wiley & Sons.

Greenacre, M. J. (1984), Theory and Applications of Correspondence Analysis, London: Academic Press.

Greenacre, M. J. (1988), “Correspondence Analysis of Multivariate Categorical Data by Weighted Least-Squares,” Biometrika, 75, 457–467.

Greenacre, M. J. (1989), “The Carroll-Green-Schaffer Scaling in Correspondence Analysis: A Theoretical and Empirical Appraisal,” Journal of Market Research, 26, 358–365.

Greenacre, M. J. (1994), “Multiple and Joint Correspondence Analysis,” in M. J. Greenacre and J. Blasius, eds., Correspondence Analysis in the Social Sciences, London: Academic Press.

Greenacre, M. J. and Hastie, T. (1987), “The Geometric Interpretation of Correspondence Analysis,” Journal of the American Statistical Association, 82, 437–447.

Guttman, L. (1941), “The Quantification of a Class of Attributes: A Theory and Method of Scale Construction,” in P. Horst, P. Wallin, and L. Guttman, eds., The Prediction of Personal Adjustment, New York: Social Science Research Council.

Hayashi, C. (1950), “On the Quantification of Qualitative Data from the Mathematico-Statistical Point of View,” Annals of the Institute of Statistical Mathematics, 2, 35–47.

Hirshfield, H. O. (1935), “A Connection between Correlation and Contingency,” Cambridge Philosophical Society Proceedings, 31, 520–524.

Hoffman, D. L. and Franke, G. R. (1986), “Correspondence Analysis: Graphical Representation of Categorical Data in Marketing Research,” Journal of Marketing Research, 23, 213–227.

Horst, P. (1935), “Measuring Complex Attitudes,” Journal of Social Psychology, 6, 369–374.

Kobayashi, R. (1981), An Introduction to Quantification Theory, Tokyo: Japan Union of Scientists and Engineers.

Komazawa, T. (1982), Quantification Theory and Data Processing, Tokyo: Asakura-shoten.

Lebart, L., Morineau, A., and Tabard, N. (1977), Techniques de la Description Statistique, Paris: Dunod.

Lebart, L., Morineau, A., and Warwick, K. M. (1984), Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices, New York: John Wiley & Sons.

Nishisato, S. (1980), Analysis of Categorical Data: Dual Scaling and Its Applications, Toronto: University of Toronto Press.

Nishisato, S. (1982), Quantification of Qualitative Data - Dual Scaling and Its Applications, Tokyo: Asakura-shoten.

Richardson, M. and Kuder, G. F. (1933), “Making a Rating Scale That Measures,” Personnel Journal, 12, 36–40.

Tenenhaus, M. and Young, F. W. (1985), “An Analysis and Synthesis of Multiple Correspondence Analysis, Optimal Scaling, Dual Scaling, Homogeneity Analysis, and Other Methods of Quantifying Categorical Multivariate Data,” Psychometrika, 50, 91–119.

U.S. Bureau of the Census (1979), Statistical Abstract of the United States, 100th Edition, Washington DC.

van der Heijden, P. G. M. and de Leeuw, J. (1985), “Correspondence Analysis Used Complementary to Loglinear Analysis,” Psychometrika, 50, 429–447.