Introduces a new approach for partitioning test items into dimensionally distinct item clusters. The core of this approach is a new item-pair conditional-covariance-based proximity measure that can be used with hierarchical cluster analysis. The procedure can correctly classify, on average, over 90% of the items for correlations as high as 0.9.…

The author suggests that it is more efficient to cluster subjects on the basis of their profiles across several dimensions of significance and to seek "between" subgroup correlates, than to search for a moderator variable "within" levels of which criterion relationships may vary in nonrandom fashion. (Author/RK)

A factor rotation scheme is presented which has a property that is interesting for examining factor-structure hypotheses. Given several clusters of tests the orthogonal bounds scheme produces factors which contain these clusters in some optimal sense. (Author)

Two versions of a decision rule for determining the most appropriate number of clusters on the basis of a correlation matrix are presented, applied, and compared with three other decision rules. The new rule is efficient for determining the number of clusters on the surface level for multilevel data. (SLD)

Author cocitation analysis was used to investigate changes in intellectual structure of macroeconomics over two consecutive time periods, 1972-1977 and 1978-1983. Profile analysis, nonmetric multidimensional scaling, and clustering techniques were used to create two-dimensional maps displaying changing relationships among 41 authors as perceived…

This report was prepared by the Careers and Curricula Program, which is a career development and guidance program sponsored by The Center for Social Organization of Schools. As one of five Center programs which develop scientific knowledge of the schools' effects upon students and utilize this information to improve educational practices, this…

The purpose of this paper is to suggest a technique of cluster analysis which is similar in aim to the Interactive Intercolumnar Correlation Analysis (IICA), though different in detail. Two methods are proposed for extracting a single bipolar factor (a "contrast compenent") directly from the initial similarities matrix. The advantages of this…

Most responses to educational and psychological test items may be represented in binary form. However, such dichotomously scored items present special problems when an analysis of correlational interrelationships among the items is attempted. Two general methods of analyzing binary data are proposed by Horst to partial out the effects of…

Describes method of automatic document classification in which documents classed as QA by Library of Congress classification system were clustered at six thresholds by keyword using single link technique. Automatically generated clusters were compared to Library of Congress subclasses, and partial classified hierarchy was formed. Twelve references…

This report contains accounts of studies, about scales to be used in the "A Study of Schooling" research project, undertaken to derive indices for constructs presumed to be measureable by composites of items. The report is introduced by a discussion on the rationale for selecting the research methodology used and an explanation of the…