Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Models Approach in the Analysis of Contingency Tables

Summary This paper is an expanded version of an invited paper presented by the author at the 45th Session of the International Statistical Institute in Amsterdam, Netherlands. It describes how correspondence analysis models can serve as an extension of the usual correspondence analysis approach, and how log-bilinear models can serve as an extension of the usual log-linear models approach, in the analysis of contingency tables. Relationships between the correspondence analysis models and the log-bilinear models are also noted. The correspondence analysis models can be used to simplify and supplement results obtained with the usual correspondence analysis approach, and the log-bilinear models can be used to simplify and supplement results obtained with the usual log-linear approach. Modifications of the usual approaches are recommended here with respect to both descriptive and inferential aspects of these approaches.

[1]  Mental Health in the Metropolis: The Midtown Manhattan Study , 1977 .

[2]  L. A. Goodman Simple Models for the Analysis of Association in Cross-Classifications Having Ordered Categories , 1979 .

[3]  Zvi Gilula,et al.  Grouping and Association in Contingency Tables: An Exploratory Canonical Correlation Approach , 1986 .

[4]  J. Anderson Regression and Ordered Categorical Variables , 1984 .

[5]  H. Hotelling Relations Between Two Sets of Variates , 1936 .

[6]  E. Malinvaud,et al.  Data analysis in official socio-economic statistics , 1983 .

[7]  L. A. Goodman Three Elementary Views of Log Linear Models for the Analysis of Cross-Classifications Having Ordered Categories , 1981 .

[8]  H. Hotelling Analysis of a complex of statistical variables into principal components. , 1933 .

[9]  Leo A. Goodman,et al.  Association Models and Canonical Correlation in the Analysis of Cross-Classifications Having Ordered Categories , 1981 .

[10]  P. McCullagh,et al.  Generalized Linear Models , 1972, Predictive Analytics.

[11]  Leo A. Goodman,et al.  Association models and the bivariate normal for contingency tables with ordered categories , 1981 .

[12]  A. Morineau,et al.  Multivariate descriptive statistical analysis , 1984 .

[13]  G. M. Clarke,et al.  Analysis of Qualitative Data: Vol. 2, New Developments. , 1981 .

[14]  Leo A. Goodman,et al.  Criteria for Determining Whether Certain Categories in a Cross-Classification Table Should Be Combined, with Special Reference to Occupational Categories in an Occupational Mobility Table , 1981, American Journal of Sociology.

[15]  M. Kendall,et al.  The advanced theory of statistics , 1945 .

[16]  E. J. Williams USE OF SCORES FOR THE ANALYSIS OF ASSOCIATION IN CONTINGENCY TABLES , 1952 .

[17]  Clifford C. Clogg,et al.  Some Models for the Analysis of Association in Multiway Cross-Classifications Having Ordered Categories , 1982 .

[18]  B. F. Schriever Scaling of order dependent categorical variables with correspondence analysis : Preprint , 1982 .

[19]  Shelby J. Haberman,et al.  Log-Linear Models for Frequency Tables with Ordered Classifications , 1974 .

[20]  New methods for the analysis of two-way contigency tables: An alternative to Diaconis and Efron , 1985 .

[21]  C. Burt THE FACTORIAL ANALYSIS OF QUALITATIVE DATA , 1950 .

[22]  S. Haberman,et al.  Canonical Analysis of Contingency Tables by Maximum Likelihood , 1986 .

[23]  R. Clarke,et al.  Theory and Applications of Correspondence Analysis , 1985 .

[24]  L. A. Goodman THE ANALYSIS OF A SET OF MULTIDIMENSIONAL CONTINGENCY TABLES USING LOG-LINEAR MODELS, LATENT-CLASS MODELS, AND CORRELATION MODELS: THE SOLOMON DATA REVISITED , 1987 .

[25]  L. A. Goodman New Methods for Analyzing the Intrinsic Character of Qualitative Variables Using Cross-Classified Data , 1987, American Journal of Sociology.

[26]  K. Gabriel,et al.  The biplot graphic display of matrices with application to principal component analysis , 1971 .

[27]  R. Fisher THE PRECISION OF DISCRIMINANT FUNCTIONS , 1940 .

[28]  L. Guttman The principal components of scale analysis , 1950 .

[29]  L. A. Goodman The analysis of dependence in cross-classifications having ordered categories, using log-linear models for frequencies and log-linear models for odds. , 1983, Biometrics.

[30]  Chikio Hayashi On the quantification of qualitative data from the mathematico-statistical point of view , 1950 .

[31]  Michel Tenenhaus,et al.  An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data , 1985 .

[32]  D. Gheva,et al.  Methods for diagnosing multiplicative-interaction models for two-way contingency tables , 1985 .

[33]  L. A. Goodman The Analysis of Cross-Classified Data Having Ordered and/or Unordered Categories: Association Models, Correlation Models, and Asymmetry Models for Contingency Tables With or Without Missing Entries , 1985 .

[34]  L. A. Goodman,et al.  The analysis of cross-classified data having ordered categories , 1985 .

[35]  M. O'Neill,et al.  A Note on the Canonical Correlations From Contingency Tables , 1981 .

[36]  P. Horst Measuring Complex Attitudes , 1935 .

[37]  M. W. Richardson,et al.  Making a rating scale that measures. , 1933 .

[38]  Marvin K. Opler,et al.  Mental Health in the Metropolis: The Midtown Manhattan Study. , 1965 .

[39]  西里 静彦,et al.  Analysis of categorical data : dual scaling and its applications , 1980 .

[40]  M. O'Neill,et al.  Distributional Expansions for Canonical Correlations from Contingency Tables , 1978 .

[41]  H. Hirschfeld A Connection between Correlation and Contingency , 1935, Mathematical Proceedings of the Cambridge Philosophical Society.

[42]  Clifford C. Clogg,et al.  Using Association Models in Sociological Research: Some Examples , 1982, American Journal of Sociology.