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Vigneau, Francois; Bors, Douglas A. – Educational and Psychological Measurement, 2005
The problem of dimensionality with respect to Raven's Advanced Progressive Matrices (APM) specifically and, more generally, "g" or fluid intelligence, has been a long-standing issue. The present article reports two studies examining the dimensionality of both the original Set II of the APM (n = 506) and a short form (n = 644), using principal…
Descriptors: Context Effect, Item Response Theory, Intelligence Tests, Test Items
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Martin, Andrew J. – British Journal of Educational Psychology, 2006
Background: This study seeks to identify the cornerstones of personal bests (PBs) in the educational setting. Aims: The study proposes a multidimensional PB model in which students are most likely to attain PBs on tasks/goals that are (1) specific, (2) challenging, (3) competitively self-referenced, and (4) self-improvement based. Sample: The…
Descriptors: Persistence, Data Analysis, Multidimensional Scaling, Factor Analysis
Townes-Rosenwein, Linda – 1979
This paper discusses a longitudinal, exploratory study of developmental dimensions related to object permanence theory and explains how multidimensional scaling techniques can be used to identify developmental dimensions. Eighty infants, randomly assigned to one of four experimental groups and one of four counterbalanced orders of stimuli, were…
Descriptors: Behavior Development, Data Analysis, Infants, Multidimensional Scaling
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Birenbaum, Menucha; Tatsuoka, Kikumi – Journal of Educational Measurement, 1982
Empirical results from two studies--a simulation study and an experimental one--indicated that, in achievement data of the problem-solving type where a specific subject matter area is being tested, the greater the variety of the algorithms used, the higher the dimensionality of the test data. (Author/PN)
Descriptors: Achievement Tests, Algorithms, Data Analysis, Factor Structure
Rutt, David P. – 1977
Multidimensional scaling was applied to the assessment of qualitative data relating to an optometry faculty's perceptions of instructional media. Results indicate that 35mm slides, overhead transparencies, and filmstrips were viewed as serving a similar function and as acceptable in terms of cost, need, and convenience. Television and 16mm films…
Descriptors: Audiovisual Aids, Cost Effectiveness, Data Analysis, Decision Making
Eaton, Gale; Burgin, Robert – 1983
This study by two Ph.D. students in library science reviewed a systematic sample of the research literature in library and information science published in 62 core library journals in 1983 to order to identify substantive articles and compare their findings on research methodologies and trends with those reported in a similar study performed in…
Descriptors: Authors, Classification, Comparative Analysis, Data Analysis
Nagy, Philip – 1978
This study assessed the construct validity of a cognitive structure interpretation of multidimensional scaling solutions of concept similarity data. Using high school subjects, convergent validity was assessed through correspondence of scaling solutions of three similarity rating tasks; word association, similarity judgment, and semantic…
Descriptors: Cognitive Development, Cognitive Measurement, Cognitive Style, Data Analysis
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Jovick, Thomas D. – 1978
This paper discribes the analysis of data in the Management Implications of Team Teaching Project (MITT). It touches on the interviews conducted with teachers and principals, presents the breadth of information obtained in the questionnaire, and explains how the data were aggregated and how issues were grouped. Information collected in the…
Descriptors: Centralization, Cluster Analysis, Computer Oriented Programs, Data Analysis
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Langeheine, Rolf – Studies in Educational Evaluation, 1978
A three-way multidimensional scaling model is presented as a method for identifying classroom cliques, by simultaneous analysis of three variables (for example, chooser/choosen/criteria). Two scaling models--Carroll and Chang's INDSCAL and Lingoes' PINDIS--are presented and applied to two sets of empirical data. (CP)
Descriptors: Classroom Environment, Classroom Research, Cluster Analysis, Computer Programs
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