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Guertin, Wilson H. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Factor Analysis
Harman, Harry H. – 1971
This is a methodological study that suggests a taxometric technique for objective classification of yeasts. It makes use of the minres method of factor analysis and groups strains of yeast according to their factor profiles. The similarities are judged in the higher-dimensional space determined by the factor analysis, but otherwise rely on the…
Descriptors: Classification, Cluster Grouping, Factor Analysis, Food Standards

Wolhuter, C. C. – Comparative Education Review, 1997
Discusses the lack of classification systems as a major deficiency in the field of comparative education. Examines previous typologies of education systems and of forms of intergroup relations. Offers a tentative classification of 135 national education systems based on 15 conventional indicators using factor analysis and cluster analysis.…
Descriptors: Classification, Cluster Grouping, Comparative Education, Educational Indicators
Nunn, Richard; Lain, Lindy – 1975
Empirical techniques are developed that may be used in conjunction with data stored in the Institutional Profile System to enhance present capabilities of assessing group structure in medical schools. Relevant literature is reviewed, and the institutionally descriptive data available for analysis and their manipulation into researchable formats…
Descriptors: Classification, Cluster Grouping, Factor Analysis, Higher Education
Borko, Harold; And Others – 1968
Experiments were performed to determine the feasibility of using ALCAPP as one form of on-line dialogue. Assuming the ALCAPP (Automatic List Classification and Profile Production) system is in an on-line mode, investigations of those parameters which could affect its stability and reliability were conducted. Fifty-two full test documents were used…
Descriptors: Abstracts, Algorithms, Analysis of Variance, Automation
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

Terenzini, Patrick T.; And Others – Research in Higher Education, 1980
A methodology developed as an alternative to conventional institutional classification structures, intended to reduce the limitations of those models, is described. Ways in which the methodology can be used for planning, administrative, and research purposes are discussed, as are the dangers in using "peer groups" for institutional…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Planning
Wolf, W. Shapard, Jr.; Richardson, Richard C., Jr. – 1986
A new typology for faculty is proposed, based on their expressed priorities toward activities in which research universities engage. Responses of 617 faculty to a survey of 66 statements about university activities were factor analyzed, and scores on eight factors obtained were used in a cluster analysis that produced three clusters of faculty.…
Descriptors: Classification, Cluster Grouping, College Faculty, Departments
Andre, Thomas – 1972
Investigations designed to eliminate ambiguities in the Andre and Kulhavy procedure and to investigate the effects of noun modifications and sentence voice in the category clustering of sentences were conducted. Two experiments were carried out; both employed a mixed factorial design and were prepared in dittoed booklets. The Ss were run in…
Descriptors: Classification, Cluster Grouping, College Students, Educational Psychology