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Kohn, Hans-Friedrich; Steinley, Douglas; Brusco, Michael J. – Psychological Methods, 2010
The "p"-median clustering model represents a combinatorial approach to partition data sets into disjoint, nonhierarchical groups. Object classes are constructed around "exemplars", that is, manifest objects in the data set, with the remaining instances assigned to their closest cluster centers. Effective, state-of-the-art implementations of…
Descriptors: Computer Software, Psychological Studies, Data Analysis, Research Methodology
Thompson, Charles P.; And Others – Journal of Experimental Psychology, 1972
Results indicated that Ss demonstrating a high degree of clustering recalled more than Ss demonstrating a low degree of clustering. (Authors)
Descriptors: Classification, Cluster Grouping, Data Analysis, Psychological Studies
Hubert, Lawrence; Schultz, James – 1975
An empirical assesssment of the space distortion properties of two prototypic hierarchical clustering procedures is given in terms of an occupancy model developed from combinatorics. Using one simple example, the single-link and complete-link clustering strategies now in common use in the behavioral sciences are empirically shown to be space…
Descriptors: Behavioral Sciences, Classification, Cluster Analysis, Cluster Grouping
Schwartz, Jerome L. – J Sch Health, 1970
The Smoking Control Research Project showed that most smokers wish to quit and that many of them can. It is necessary to present these smokers with the opportunities to quit, and then make the environment supportive of nonsmoking. Presented at the University of California Extension Course, "Cigarette Smoking: Insight into a Perplexing Problem,"…
Descriptors: Behavior Patterns, Classification, Cluster Grouping, Data Analysis
Weist, Richard M. – Journal of Experimental Psychology, 1972
Results of three experiments affirm prior research concerned with the distinction between associative and encoding factors in free recall. (Author/MB)
Descriptors: Association Measures, Associative Learning, Classification, Cluster Grouping

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

Wachs, Theodore D.; Gruen, Gerald E. – Child Development, 1971
Results indicated that availability of categories rather than frequency of words seemed most crucial in determining developmental changes in clustering efficiency. (Authors)
Descriptors: Age Differences, Analysis of Variance, Classification, Cluster Grouping

Kroes, William H.; Libby, William L., Jr. – Journal of Genetic Psychology, 1973
Study compared the relative power of the Taxonomic, Semantic Differential, and Sense Impression categories in the recall behavior of children. (Authors)
Descriptors: Age Differences, Classification, Cluster Grouping, Data Analysis
Shafto, Michael – 1972
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…
Descriptors: Bibliographies, Classification, Cluster Analysis, Cluster Grouping
Pinto, Patrick R.; Pinder, Craig C. – 1972
Two hundred twenty-seven organizational units drawn from a variety of industries were cluster-analyzed on the basis of their similarities across 18 behavioral and structural dimensions of effectiveness. Using a multivariate subgrouping procedure, eight homogeneous clusters of units were found, varying in size from 8-65 units, and each…
Descriptors: Behavior Rating Scales, Behavioral Science Research, Classification, Cluster Analysis
Robinson, Jacques H.; And Others – 1981
This report represents one aspect of the development of a competency-based, interdisciplinary cooperative program called Project SAVE (Special And Vocational Education). It focuses on Phase I, which, using a taxonomic approach, analyzed prior research and development efforts directed at implementing competency-based personnel preparation programs.…
Descriptors: Classification, Cluster Grouping, Competence, Competency Based Teacher Education