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Price, William J. – Journal of Teacher Education, 1972
Descriptors: Clinical Experience, Cluster Grouping, Cooperating Teachers, Student Teachers
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Hall, Charles E. – Journal of Experimental Education, 1971
A factor rotation scheme is presented which has a property that is interesting for examining factor-structure hypotheses. Given several clusters of tests the orthogonal bounds scheme produces factors which contains these clusters in some optimal sense. (Author)
Descriptors: Cluster Grouping, Factor Analysis, Factor Structure, Hypothesis Testing
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Light, Richard J.; Smith, Paul V. – Harvard Educational Review, 1971
Descriptors: Cluster Grouping, Data Analysis, Educational Research, Research Methodology
Weiss, David J. – J Counseling Psychol, 1970
Topics discussed include factor analysis versus cluster analysis, analysis of Q correlation matrices, ipsativity and factor analysis, and tests for the significance of a correlation matrix prior to application of factor analytic techniques. Techniques for factor extraction discussed include principal components, canonical factor analysis, alpha…
Descriptors: Cluster Grouping, Correlation, Counseling, Factor Analysis
Runquist, Peggy A. – J Exp Psychol, 1970
Descriptors: Analysis of Variance, Cluster Grouping, Paired Associate Learning, Stimuli
Haynes, Jack R. – Amer Educ Res J, 1970
Descriptors: Cluster Grouping, Cognitive Ability, Cognitive Processes, Item Analysis
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Knapp, Lila; Knapp, Robert R. – Journal of Educational Measurement, 1982
The present study was undertaken to determine whether a 14-cluster occupational structure similar to Knapp's (1976) would result from factor analysis based on sex-balanced interest items. Results supported the structure found previously based on non-sex-balanced items. (Author/GK)
Descriptors: Cluster Grouping, Interest Inventories, Secondary Education, Sex Bias
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Koslowsky, Meni – Educational and Psychological Measurement, 1979
Recent trends in the analysis of categorical or nominal variables were discussed for univariate, multivariate, and psychometric problems. It was shown that several statistical procedures commonly used with these problems have analogues which can be applied to assessing categorical variables. (Author/CTM)
Descriptors: Classification, Cluster Grouping, Correlation, Discriminant Analysis
Barker, Donald G. – Southern Journal of Educational Research, 1977
Great educators of history were categorized on the basis of their: aims of education, fundamental ideas, and educational theories. They were classed by Ward's method of hierarchical analysis into six groupings: Socrates, Ausonius, Jerome, Abelard; Quintilian, Origen, Melanchthon, Ascham, Loyola; Alciun, Comenius; Vittorino, Basedow, Pestalozzi,…
Descriptors: Cluster Grouping, Educational Philosophy, Educational Theories, Foundations of Education
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Tanaka, Hideki; Kumano, Tadashi; Uratani, Noriyoshi; Ehara, Terumasa – Information Processing & Management, 1999
Presents a document-clustering algorithm that uses a term frequency vector for each document in a Japanese collection to produce a hierarchy in the form of a document classification tree. Introduces an application of this algorithm to a Japanese-to-English translation-aid system. (Author/LRW)
Descriptors: Algorithms, Cluster Grouping, Japanese, Structural Analysis (Linguistics)
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Roussos, Louis A.; Stout, William F.; Marden, John I. – Journal of Educational Measurement, 1998
Introduces a new approach for partitioning test items into dimensionally distinct item clusters. The core of this approach is a new item-pair conditional-covariance-based proximity measure that can be used with hierarchical cluster analysis. The procedure can correctly classify, on average, over 90% of the items for correlations as high as 0.9.…
Descriptors: Cluster Analysis, Cluster Grouping, Correlation, Multidimensional Scaling
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Tombros, Anastasios; Villa, Robert; Van Rijsbergen, C. J. – Information Processing & Management, 2002
Discusses hierarchic document clustering in information retrieval and its potential improved effectiveness over inverted file search (IFS). Describes experiments conducted to determine whether hierarchic clustering can increase the retrieval effectiveness compared to both static clustering and of conventional IFS when it is applied to search…
Descriptors: Cluster Grouping, Comparative Analysis, Information Retrieval, Online Searching
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Mallett, Shelley; Rosenthal, Doreen; Myers, Paul; Milburn, Norweeta; Rotheram-Borus, Mary Jane – Journal of Adolescence, 2004
In a study exploring the relationship between typology and risk, we investigated the daily routines of a heterogeneous sample of young men and women from two sites who had been homeless for varying periods (N=1289). Cluster analysis yielded four groups--"Partnered", "Socially engaged", "Service connected-harm avoidant", and "Transgressive"--based…
Descriptors: Young Adults, Homeless People, Risk, Multivariate Analysis
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Kaplan, Danielle E.; An, Heejung – Journal of Computing in Higher Education, 2005
A study with students enrolled at an urban technical college compared learning of HTML coding across three Web-based program versions. One group received examples providing factual information about the source code (Facts group). A second group was presented with a step-by-step description of the source code (Procedures group). The third group was…
Descriptors: Technical Institutes, College Students, Comparative Analysis, Cluster Grouping
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Bello, M. I.; Danjuma, I. M.; Adamu, A. Y. – Journal of Career and Technical Education, 2007
The main purpose of the study was to explore and describe the vocational training needs of 15-25 years old out-of-school youths in Bauchi Metropolis of Bauchi State, Nigeria. Specifically, the researchers sought to; describe their demographic characteristics, examine their vocational training needs, the influence of gender on the vocational needs,…
Descriptors: Educational Needs, Adult Vocational Education, Foreign Countries, Vocational Education
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