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Jabnoun, Naceur – Quality Assurance in Education: An International Perspective, 2015
Purpose: This paper aims to explore the influence of wealth, transparency and democracy on the number of universities per million people ranked among the top 300 and 500. The highly ranked universities in the world tend to be concentrated in a few countries. Design/Methodology/Approach: ANOVA was used to test the differences between the two groups…
Descriptors: Universities, Classification, Influences, Fiscal Capacity
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Soh, Kay Cheng – Higher Education Review, 2012
Three university ranking systems in vogue have been shown in the previous issue of "Higher Education Review" to be capable of modifications to make them more parsimonious by using only about half of the number of predictors currently in use. This makes some of the predictors "redundant" as they contributed little to the overall ranking. It is…
Descriptors: Higher Education, Predictor Variables, Profiles, Test Items
Rabinowitz, Mitchell; Mandler, Jean M. – 1981
In free recall learning, taxonomic organization has been studied almost to the exclusion of alternative types of organization. Consequently, little is known about how learning and memory are affected by alternative types of organizations. The present experiments explored the differential effects of two kinds of organization on free recall…
Descriptors: Classification, Cluster Grouping, Cognitive Processes, Higher Education
Hartman, E. Alan; And Others – 1987
Any attempt to describe every job position and the activities contained in it would yield a confusing mass of information. Consequently, industrial psychologists have generated methods for classifying occupational positions into a smaller number of jobs or job families. Based on prior research it has been concluded that different kinds of job…
Descriptors: Classification, Cluster Grouping, Higher Education, Job Analysis
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Miller, R. – Journal of Genetic Psychology, 1977
Seventy-two first grade students and 72 freshman college students participated in a study designed to test the hypothesis that the younger the child, the more perceptible are the attributes used in judging equivalence in sorting tasks. (BD)
Descriptors: Age Differences, Classification, Cluster Grouping, College Students
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Carrel, Joseph J. – Journal of Industrial Teacher Education, 1978
Presents the results of a survey of Mississippi Valley Industrial Teacher Education Conference members to determine their use of clusters as the organizer for their industrial arts teacher education curricula. Appendixes contain the survey instrument and titles of clusters and bases reported by schools. (Editor/TA)
Descriptors: Classification, Cluster Grouping, Curriculum Development, Educational Research
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Rabinowitz, Mitchell; Mandler, Jean M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 1983
Two experiments explored the differential effects of two kinds of organization (taxonomic and schematic) on retrieval of information. (Author/PN)
Descriptors: Classification, Cluster Grouping, College Students, Higher Education
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
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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
McIsaac, Marina Stock – 1984
This study was designed as the first in a series of inquiries to investigate the use of multidimensional scaling techniques for observing and measuring underlying dimensions commonly perceived by viewers. Following a preliminary study to select photographs, 15 university students aged 19 to 45 were presented with stimuli consisting of 34 colored…
Descriptors: Classification, Cluster Grouping, College Students, Concept Formation
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Larson, Ray R. – Journal of the American Society for Information Science, 1992
Presents the results of research into the automatic selection of Library of Congress Classification numbers based on the titles and subject headings in MARC records from a test database at the University of California at Berkeley Library School library. Classification clustering and matching techniques are described. (44 references) (LRW)
Descriptors: Academic Libraries, Bibliographic Databases, Bibliographic Records, Classification
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