Recent trends in the analysis of categorical or nominal variables were discussed for univariate, multivariate, and psychometric problems. It was shown that several statistical procedures commonly used with these problems have analogues which can be applied to assessing categorical variables. (Author/CTM)

None of the techniques -- sorting, scatter graphs, grouping, or calculating means -- that are highlighted in this work are particularly sophisticated, and yet their simplicity is often more than adequate for displaying the trends in data or for making comparisons in a convincing way. These are strategies that are easy to introduce to students and…

The INTASC Principles, when used as the basis for developing appropriate measurement instruments to assess teacher dispositions, provide a viable approach to the diagnosis and remediation of skill-related affective performance in teacher candidates and also to meeting NCATE requirements for Standard 1. In this symposium, the development and use of…

After a brief review of organization classification, multivariate approaches toward the empirical identification of such classifications are discussed. Ten guidelines for conducting future multivariate classificatory studies are presented, supported by a critique of two published large-scale empirical studies. (Author)

A fairly large number of different methods exist for evaluating comparisons or null hypothetical contrasts. Because it is difficult to choose among them, this paper develops a 2 by 2 classification of the methods. The first dimension of the classification is decision-based error rate vs. experimentwise error rate. The second dimension is planned…

The problem which this study addresses is the effects of cognitive style and variations in the free sort procedures on the sorting outcome of sorting time and number and quality of manifest partitions. This experiment was designed to look at the effects of the cognitive styles of field dependence, category width and equivalence range,…

Classification is a procedure through which individuals are classified as being members of a particular group based on a variety of independent variables. Two methods of makin such classifications are discussed; the quadratic method is seen to be superior to the linear under certain constraints. (JKS)

The technique of generalizing sample results in a classification study to large subpopulations of unequal sizes was examined. The usual output from the discriminant analysis routine in the Statistical Package for the Social Sciences was extended to handle the present statistical problems. Advantages of the technique were discussed. (Author/DWH)

A typology of work groups is created and the impact of five organizational development interventions on types of work groups is compared to determine the positive and negative effects. Interventions have differential effects on the various work group types. (Author/IRT)

This article describes the strengths and weaknesses of different models of classification (primarily monothetic and polythetic) and then focuses on cluster analysis as a method of pursuing a polythetic model. Design features that need to be incorporated in a cluster analytic study are discussed in relation to theory formulation, internal validity,…

Categories can be counted, rated, or ranked, but they cannot be measured. Likewise, persons or individuals can be counted, rated, or ranked, but they cannot be measured either. Nevertheless, psychology has realized early on that it can take an indirect road to measurement: What can be measured is the strength of association between categories in…