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Huberty, Carl J; Smith, Janet C. – 1982
Predictive discriminant analysis involves a technique used in multivariate classification, i.e., in predicting membership in well-defined groups for units on which multiple measures are available. The validation (assessment) of group membership predictions pertains to two problems: estimating true proportions of correct classifications (i.e., hit…
Descriptors: Classification, Cluster Grouping, Discriminant Analysis, Estimation (Mathematics)
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Rosenberg, Seymour; Kim, Moonja Park – Multivariate Behavioral Research, 1975
Compares two basic variants of the sorting method: single-sort and multiple sort. The nature of individual differences in sorting, as well as sex differences, were also investigated. Stimulus materials were the 15 mutually exclusive kinship terms selected by Wallace and Atkins (1960). (RC)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Students
McIsaac, Marina Stock – 1984
This study was designed as the first in a series of inquiries to investigate the use of multidimensional scaling techniques for observing and measuring underlying dimensions commonly perceived by viewers. Following a preliminary study to select photographs, 15 university students aged 19 to 45 were presented with stimuli consisting of 34 colored…
Descriptors: Classification, Cluster Grouping, College Students, Concept Formation