Relationships between sets of variables of different kinds are of interest in many branches of
science. The question of the analysis of relationships of this sort has nevertheless rather …

As a generalization of simple correspondence analysis, multiple correspondence analysis
(MCA) is a powerful technique for handling larger, more complex datasets, including the …

Correspondence analysis is an exploratory data analysis technique for the graphical display
of contingency tables and multivariate categorical data. Its history can be traced back at least …

This volume provides readers with a simple, non-technical introduction to correspondence
analysis (CA), a technique for summarily describing the relationships among categorical …

A new procedure is discussed which fits either the weighted or simple Euclidian model to
data that may (a) be defined at either the nominal, ordinal, interval or ratio levels of …

This outstanding presentation of the fundamentals of multidimensional scaling illustrates the
applicability of MDS to a wide variety of disciplines. The first two sections provide ground …

The history of multiple correspondence analysis (MCA) is a curious one: in about 80 years, it
has been invented and re-invented by different authors independently of each other. After a …

This chapter focuses on the analysis of ordinal and nominal multivariate data, using a
special variety of principal components analysis that includes nonlinear optimal scaling …

We discuss a variety of methods for quantifying categorical multivariate data. These methods
have been proposed in many different countries, by many different authors, under many …

This paper presents an overview of an approach to the quantitative analysis of qualitative
data with theoretical and methodological explanations of the two cornerstones of the …