A new type of scale, called the bipolar ordinate scale, is defined with assumptions slightly stronger than those of the normal ordinal scale. The scale would be used for affective type measurement. The logic behind the scale and examples are presented. (Author/JKS)

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)

G analysis is a type of discriminant analysis. A generalization of the G analysis to cases where variables are on an interval or ordinal scale is described. The placement system used in the description is distance-based, but other systems may also be applied. (Author/JKS)

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)

Existing generalizations of the G Index of Agreement of two subjects on n dichotomous items are discussed and an alternative index for ordinal scales with fixed neutral points is proposed. The proposed index can be used as a normalized scalor product and for both item and person similarities. (JKS)

The theoretical background underlying the mathematical development of different measures of the degree of attitudinal polarization applicable to bipolar questions and a Fortran IV computer program that provides a rapid means for calculation of four of those measures are presented. (Author/JKS)

The G index of agreement does not permit the use of various weights for its various items. The weighted G index described here, make it possible to use unequal weights. An example of the procedure is provided. (Author/JKS)

Generalizations of the G index as a measure of similarity between persons beyond the dichotomous situation are discussed. An attempt is made to present a generalization that does not require dichotomization of the items for cases where the number of response alternatives may differ. (Author/JKS)

The program can compute a great number of different correlation and other statistical measures. The user is free to select among the measures and also among the variables that are read by the program. When a particular set of variables has been treated in the prescribed way, a new set may follow together with new measure definitions. (Author)

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 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 Weighted H Index Delegate Discriminant Analysis method (WHIDD-analysis) is presented. It is rather similar to Holley's G-analysis, but does not utilize any component analysis and is thus cheaper and simpler to use. The WHIDD-analysis uses the weighted H-index as the E-correlation coefficient. (Author/BW)

The possibility of using a Q-analysis also for nominal data is discussed, using the J-index as a measure of similarity between persons. An example is given when ten persons sorted 16 playing cards into as many groups as they wished. A Q-analysis of these data gave a natural two-dimensional structure. (Author/BW)

The value of the phi coefficient cannot, in general, be uniquely determined from the G index. G is more suitable than the phi coefficient as a measure of similarity between individuals, because phi is too unstable over item reflection. (Author/RL)