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Peay, Edmund R. – Psychometrika, 1975
A class of closely related hierarchical grouping methods are discussed and a procedure which implements them in an integrated fashion is presented. These methods avoid some theoretical anomalies inherent in clustering and provide a framework for viewing partitioning and nonpartitioning grouping. Significant relationships between these methods and…
Descriptors: Classification, Cluster Grouping, Computer Programs, Data Analysis
Gray, William M.; Hofmann, Richard J. – 1969
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…
Descriptors: Algorithms, Analysis of Covariance, Cluster Analysis, Cluster Grouping
Prediger, Dale J. – 1971
General objectives were to develop and implement computer-based procedures for obtaining validated data on the characteristics of vocational school students and to convert this data into counseling information. Two types of data-information conversion procedures were field-tested: similarity scores based on discriminant analysis, and success…
Descriptors: Aptitude Tests, Career Counseling, Cluster Grouping, Computer Programs