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Peer reviewedMcQuitty, Louis L. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Criteria, Data Analysis
Peer reviewedTuinman, J. Jaap; Blanton, B. Elgit. – Journal of Reading Behavior, 1970
Discusses articles by Richard Rystrom in the Winter and Spring 1970 issues of the Journal of Reading Behavior. Questions the validation procedures and statistical evidence behind the author's model of reading comprehension. Tables and bibliography. (RW)
Descriptors: Factor Analysis, Models, Reading Comprehension, Research Methodology
Peer reviewedRystrom, Richard – Journal of Reading Behavior, 1970
Refutes the questions raised by Tuinman and Blanton in this issue concerning his reading comprehension model and its validation. Restates his purpose for examining this area of reading. Tables and bibliography. (RW)
Descriptors: Definitions, Factor Analysis, Models, Reading Comprehension
Peer reviewedBart, W. M. – British Journal of Educational Psychology, 1971
Descriptors: Adolescents, Cognitive Processes, Factor Analysis, Intelligence Tests
Peer reviewedCrane, Loren D.; And Others – Journal of Communication, 1970
Descriptors: College Students, Communication (Thought Transfer), Data Analysis, Factor Analysis
Smithers, Alan – Educ Rev, 1970
Descriptors: College Faculty, Factor Analysis, Higher Education, Rating Scales
Peer reviewedJohnson, Kerry A.; White, Marilyn Domas – Journal of Education for Librarianship, 1982
Reports the results of research which tested the applicability of the McKenney-Keen Model of Cognitive Style to the information gathering behavior of information professionals. Factor analysis techniques used to analyze the results are described. Four tables, two figures, and a 13-item reference list accompany the text. (Author/JL)
Descriptors: Cognitive Style, Factor Analysis, Graduate Students, Information Scientists
Peer reviewedCudeck, Robert – Multivariate Behavioral Research, 1982
Many models have been proposed for examining factors from several batteries of tests. A model for such an analysis is presented which allows for maintaining the distinction among batteries. A discussion of the computational procedures is given, and examples are provided. (Author/JKS)
Descriptors: Correlation, Data Analysis, Factor Analysis, Mathematical Models
Peer reviewedRachman, D.; And Others – Educational and Psychological Measurement, 1981
A confirmatory factor analysis provided support for the result that Holland's Self-Directed Search measures six factors: realistic, investigative, artistic, social-enterprising, conventional, and a sixth general interest factor. Generally, the psychological relationship among types confirms the hexagon model proposed by Holland and others.…
Descriptors: Accountants, Factor Analysis, Factor Structure, Interest Inventories
Peer reviewedJohnstone, J. N.; O'Mara, Deborah A. – Studies in Educational Evaluation, 1981
Educational changes included: (1) expansion of preschool facilities; (2) increased involvement of students in secondary education and in tertiary education; and (3) marked fluctuation in both the economic status of teachers and financial involvement of the aggregate of six state governments in education. (RL)
Descriptors: Educational Assessment, Educational Change, Factor Analysis, Factor Structure
Peer reviewedGuttman, Louis – Perceptual and Motor Skills, 1982
Mathematical and statistical relationships between factor analysis and smallest space analysis are discussed. As spatial analysis of correlation matrices, factor analysis is a special case of smallest space analysis. The two differ in six ways: Shepard diagram, dimensionality, correction for communality, similarity coefficients, regions versus…
Descriptors: Factor Analysis, Factor Structure, Item Analysis, Research Methodology
Peer reviewedHakstian, A. Ralph; And Others – Multivariate Behavioral Research, 1982
Issues related to the decision of the number of factors to retain in factor analyses are identified. Three widely used decision rules--the Kaiser-Guttman (eigenvalue greater than one), scree, and likelihood ratio tests--are investigated using simulated data. Recommendations for use are made. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Factor Analysis, Factor Structure
Peer reviewedZwick, William R. – Multivariate Behavioral Research, 1982
The performance of four rules for determining the number of components (factors) to retain (Kaiser's eigenvalue greater than one, Cattell's scree, Bartlett's test, and Velicer's Map) was investigated across four systematically varied factors (sample size, number of variables, number of components, and component saturation). (Author/JKS)
Descriptors: Algorithms, Data Analysis, Factor Analysis, Factor Structure
Peer reviewedBadian, Nathlie A. – Journal of Special Education, 1982
All preschool children (N=180) of the same age group in a small town were tested six months before kindergarten entry with the Holbrook Screening Battery which correctly identified 92 percent of Ss scoring as both good and poor readers four years later on the Stanford Achievement Test. (Author/CL)
Descriptors: Age Differences, Factor Analysis, Language Acquisition, Prediction
Peer reviewedThompson, Bruce; Pitts, Murray C. – Journal of Experimental Education, 1981
Adequacy coefficients can be derived by calculating the cosines of the angles between factors' actual and theoretically expected locations within factor space. The use of adequacy coefficients during instrument development is discussed. The development of an instrument to measure thinking interests provides a heuristic framework for the…
Descriptors: Cognitive Style, Factor Analysis, Mathematical Models, Test Construction


