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Warr, Peter – British Journal of Psychology, 1978
The concept of psychological well-being is introduced, and scales to measure three of its different facets are described and applied to 1655 British respondents. Results from measures of positive and negative affect are compared with North American findings, and hypotheses are broadly confirmed. Two clusters of specific anxiety items are…
Descriptors: Behavior Rating Scales, Cluster Grouping, Concept Formation, Psychological Patterns
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McCain, Katherine W. – Journal of the American Society for Information Science, 1986
To test validity of cocitation studies as representations of intellectual structure, five-six years of aggregate cocitation data for 41 authors in macroeconomics and 49 authors in genetics of fruit flies were compared with independent judgments of interauthor similarity collected from 14 macroeconomists and 15 geneticists via a card-sorting…
Descriptors: Authors, Charts, Citations (References), Cluster Analysis
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Doreian, Patrick; Fararo, Thomas J. – Journal of the American Society for Information Science, 1985
Techniques used in contemporary social network analysis are applied to citation data for a network of journals from three time periods--1970/71, 1975/76, 1980/81. Blocks or positions in journal network based on structural equivalence correspond closely to categorization by aims and objectives. Hypotheses concerning journal networks are advanced.…
Descriptors: Citations (References), Cluster Analysis, Cluster Grouping, Information Networks
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
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Griffiths, Alan; And Others – Journal of Documentation, 1984
Considers classifications produced by application of single linkage, complete linkage, group average, and word clustering methods to Keen and Cranfield document test collections, and studies structure of hierarchies produced, extent to which methods distort input similarity matrices during classification generation, and retrieval effectiveness…
Descriptors: Algorithms, Classification, Cluster Analysis, Cluster Grouping