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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
Peer reviewed Peer reviewed
White, Howard D.; Griffith, Belver C. – Information Processing and Management, 1987
Describes study that compared and judged the quality of subject indexing in online bibliographic databases. Documents from medical behavioral science literature are used with terms drawn from MEDLINE, PsychINFO, BIOSIS, and Excerpta Medica. Comparative statistics are presented on how each database links related documents and discriminates among…
Descriptors: Behavioral Sciences, Citation Analysis, Cluster Grouping, Comparative Analysis
Peer reviewed Peer reviewed
Griffiths, Alan; And Others – Journal of the American Society for Information Science, 1986
Reports on comparative study of document classifications produced by use of single linkage, complete linkage, group average, and Ward clustering methods. Findings of work that compares use of clusters consisting of pairs of documents with conventional best match searches are also reported. Thirty-four references are provided. (EJS)
Descriptors: Cluster Analysis, Cluster Grouping, Comparative Analysis, Information Retrieval
Peer reviewed Peer reviewed
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
Arnold, Carolyn L. – 1997
Addressed to institutional researchers, this report from California's Chabot College presents information on National Center for Education Statistics (NCES) data sets. Included is a discussion on how these data sets can be used to create peer groups of U.S. colleges, and to produce statistics on major student variables for each of these groups.…
Descriptors: Cluster Grouping, College Outcomes Assessment, Community Colleges, Comparative Analysis