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Peer reviewedSwanson, Rowena W. – Journal of the American Society for Information Science, 1973
An important factor to be considered in applying clustering techniques to information storage and retrieval problems is the use to be made of the resultant groupings. An examination of cluster criteria differentiation as a function of purpose may be fruitful in the exploitation of clustering techniques. (12 references) (Author/KE)
Descriptors: Classification, Cluster Grouping, Information Retrieval, Information Science
Keat, Donald B., II; Hackman, Roy B. – Measurement and Evaluation in Guidance, 1972
Individuals were grouped into person clusters on the basis of the similarity of their inventory profiles. In any particular profile cluster, homogeneous groups (by curriculum areas) of individuals tend to group into attraction patterns (presence in profile cluster) and avoidance patterns (absence from profile cluster). (Author)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Students
Nelson, William F. – Speech Mongr, 1970
Reports an experiment in which a topical system facilitated subjects' recall of information pertinent both to highly meaningful and less meaningful issues; based upon author's doctoral study, Pennsylvania State University. (RD)
Descriptors: Abstract Reasoning, Cluster Grouping, Cognitive Processes, College Students
Peer reviewedMcquitty, Louis L.; Frary, Jewel M. – Educational and Psychological Measurement, 1971
Discussion of a method of classification which attempts to use the particular set of indices of association which produce the most reliable and valid solution. (PR)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Criteria
Frase, Lawrence T. – J Educ Psychol, 1969
Reprints from: Lawrence T. Frase, Bell Telephone Laboratories, Mountain Avenue, Murray Hill, New Jersey 07974.
Descriptors: Associative Learning, Cluster Grouping, Conceptual Schemes, Organization
Peer reviewedAttar, Rony; Fraenkel, Aviezri S. – Information Processing and Management, 1981
Describes a method of iterative searching that uses local metrical clustering in the formulation of additional searches by producing searchonyms, terms which are synonymous to keywords in the context of a single query. The method was applied to a database containing Hebrew and Aramaic text. Seven references are listed. (FM)
Descriptors: Bibliographies, Cluster Grouping, Information Retrieval, Keywords
Peer reviewedPickett, Lawrence K., Jr. – Criminal Justice and Behavior, 1981
The MMPI results obtained from 245 adolescent males referred to the evaluation unit of a Juvenile Court were submitted to a multivariate classification system. By correlating individual subject profiles with the modal profiles, six membership groups were formed. No relationship was found between group membership and age or race. (Author)
Descriptors: Adolescents, Age, Classification, Cluster Grouping
Peer reviewedHarding, Alan F.; Willett, Peter – Journal of the American Society for Information Science, 1980
Demonstrates that the process of comparing each document in an automated system with all others during the classification procedure may be avoided by the use of an inverted file. (FM)
Descriptors: Automatic Indexing, Classification, Cluster Grouping, Information Retrieval
Peer reviewedPoulos, Marie G.; Webster, William G. – Journal of Speech and Hearing Research, 1991
Of 169 adult and adolescent stutterers studied, 112 reported family history of stuttering. Only 3 of the 112 reported birth or early childhood factors that might precipitate stuttering, as opposed to 21 of those without family history of stuttering. By considering these two conditions as separate factors in behavior, stutterers may be divided into…
Descriptors: Adolescents, Adults, Classification, Cluster Grouping
Peer reviewedRasmussen, Edie M.; And Others – Information Processing and Management, 1991
This issue contains nine articles that provide an overview of trends and research in parallel information retrieval. Topics discussed include network design for text searching; the Connection Machine System; PThomas, an adaptive information retrieval system on the Connection Machine; algorithms for document clustering; and system architecture for…
Descriptors: Algorithms, Cluster Grouping, Computer Networks, Computer System Design
Peer reviewedPersson, Olle – Journal of the American Society for Information Science, 1994
Describes results of a citation analysis of 209 articles from the "Journal of the American Society for Information Science" (JASIS) that was conducted to determine the intellectual base and the research front. Topics discussed include citation-based mapping techniques, including bibliographic coupling and cocitation analysis; and…
Descriptors: Authors, Citation Analysis, Cluster Grouping, Information Science
Wood, Piers – Journal of Biological Education, 2004
This article argues the need for, and provides, a dichotomous single access key for the identification of common British wild flower families. A minimum of technical vocabulary is used while at the same time retaining most of the recent botanical names of families. The key provides a user-friendly opportunity for school pupils to become familiar…
Descriptors: Identification, Plants (Botany), Floriculture, Vocabulary
Weinberg, Sharon L. – Journal of Higher Education, 2008
As described in the 2003 Supreme Court decision on "Grutter v. Bollinger," the newly embraced conceptualization of diversity as "diversity within all disciplines" requires a renewed effort on the part of educators to determine whether universities are fulfilling their missions of achieving faculty diversity. A related and equally important…
Descriptors: Diversity (Faculty), Affirmative Action, Court Litigation, Educational Indicators
Palsdottir, Agusta – Information Research: An International Electronic Journal, 2008
Introduction: The aim of this study is to gather knowledge about how different groups of Icelanders take advantage of information about health and lifestyle in their everyday life. Method: A random sample of 1,000 people was used in the study and data was gathered as a postal survey. Response rate was 50.8%. Analysis: K-means cluster analysis was…
Descriptors: Self Efficacy, Multivariate Analysis, Information Seeking, Health Behavior
Sheppard, Richard; Han, Kyunghee; Colarelli, Stephen M.; Dai, Guangdong; King, Daniel W. – Assessment, 2006
The authors examined measurement bias in the Hogan Personality Inventory by investigating differential item functioning (DIF) across sex and two racial groups (Caucasian and Black). The sample consisted of 1,579 Caucasians (1,023 men, 556 women) and 523 Blacks (321 men, 202 women) who were applying for entry-level, unskilled jobs in factories.…
Descriptors: Content Analysis, Test Bias, Personality Measures, Gender Bias

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