The possibility of using component analysis for nominal data is discussed. Two nominal scale correlation coefficients are applicable. Tschuprow's coefficient and the J index. The reason is that they satisfy the requirements of a scalar product between normalized vectors in a Euclidean space. Some characteristics of these coefficients are…

The program can perform any one of those nonparametric statistical methods that is mentioned in Sidney Siegel's classical work on the subject. The user is free to select among the methods and also among the samples that are read by the program. When a particular set of samples has been treated in the prescribed way, a new set may follow together…

The E (for Euclidean) correlation coefficient is introduced as a general formulation of a variety of measures of association. Characteristics of the coefficient are discussed, and 23 measures of association are shown to be or not be E coefficients. (JKS)

A computer program for computing coefficients for nominal scales, such as the contingency coefficient, Cramer's V, and others is described. (Author/JKS)

The G index and its generalizations in the six basic factor analytic designs are discussed. G should be used if there is no mutual direction of all the variables. G should also be used if the scale center is more suitable as a reference point than the mean value. (Author/CTM)

The G index is a measure of the similarity between individuals over dichotomous items. Some tests for the G-index are described. For each case an example is included. (Author/GK)

The G index is a measure of similarity between pairs of dichotomized items. The G index is generalized here to the case where items are trichotomized. (JKS)