A method based on homogeneity analysis (multiple correspondence analysis or multiple scaling) is proposed to reduce many categorical variables to one variable with "k" categories. The method is a generalization of the sum of squared distances cluster analysis problem to the case of mixed measurement level variables. (SLD)

Correspondence analysis can provide spatial or clustering representations by assigning spatial coordinates minimizing the distance between individuals linked by a sociometric relationship. These scales may then be used to identify individuals' locations in a multidimensional representation of a group's structure or to reorder the rows and columns…

The purpose of this paper is to examine the capabilities of various procedures for sorting dichotomously-scored items into unidimensional subjects. The procedures include: factor analysis, nonmetric multidimensional scaling, cluster analysis, and latent trait analysis. Both simulated and real data sets of known structure were used to evaluate the…

Cliff's Index "c" derived from an item dominance matrix is utilized in a clustering approach, termed extracting Reliable Guttman Orders (ERGO), to isolate Guttman-type item hierarchies. A comparison of factor analysis to the ERGO is made on social distance data involving multiple ethnic groups. (Author/BW)

In a series of three independent studies that focused on the classic sources of curriculum (the learner, society, and subject matter), data were gathered that might bear on the choices facing the curriculum developer. Learner data tentatively revealed what characteristics of pictures affected the deployment of third-grade children's visual…

Describes multidimensional scaling and cluster analysis and the type of problems they can help solve. Cites major literature sources concerning their use. Reviews applications of these methods in rehabilitation research. Discusses possible advantages of nonmetric data-reduction techniques over metric approaches, such as factor analysis. (Author)

This study investigated (1) relationships between reading comprehension, IQ, and equivalence range (ER) and (2) categorizing styles through multidimensional scaling and varimax rotation analysis. One hundred and six male and 97 female sixth-graders comprised three reading groups according to Metropolitan Achievement Test, Reading subtest, and Otis…

This paper discribes the analysis of data in the Management Implications of Team Teaching Project (MITT). It touches on the interviews conducted with teachers and principals, presents the breadth of information obtained in the questionnaire, and explains how the data were aggregated and how issues were grouped. Information collected in the…

Multidimensional scaling methods were used to derive interpretable models of medical school similarity with respect to research and graduate medical education intensiveness. On the basis of cluster analysis, private schools seemed to be categorizable into those that are relatively intensive on both research and graduate medical education, those…