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Peer reviewedChabassol, David J. – Journal of Experimental Education, 1971
Descriptors: Adolescents, Factor Analysis, Human Development, Individual Differences
Peer reviewedZavala, Albert – Perceptual and Motor Skills, 1971
Descriptors: Classification, Computers, Factor Analysis, Information Retrieval
Peer reviewedDixon, Paul W. – Journal of Experimental Education, 1971
Descriptors: Correlation, Factor Analysis, Multiple Regression Analysis, Oblique Rotation
Peer reviewedGuertin, Wilson H. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Factor Analysis
Boyd, Larry; Randle, Kenneth – J Learning Disabilities, 1970
Descriptors: Exceptional Child Research, Factor Analysis, Test Validity, Visual Perception
Reed, Ritchie H.; Miller, Herman P. – J Hum Resources, 1970
Using a multiple regression analysis with dummy variables, the factors which influence the earnings of college men were examined and found to be positively correlated to the rank of colleges where degrees were received. College quality, age, field of specialization, level of degree, and race were all significant factors. (BC)
Descriptors: College Graduates, Factor Analysis, Income, Males
Askov, Eunice; And Others – Education Digest: Essential Readings Condensed for Quick Review, 1971
Descriptors: Educational Research, Factor Analysis, Handwriting, Handwriting Instruction
Peer reviewedBoruch, Robert F.; And Others – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Factor Analysis, Factor Structure, Mathematical Models
Collingwood, Thomas; and others – J Clin Psychol, 1970
A study of therapists' case histories indicates that a good therapist is successful in everything that he does, both in and outside his vocational field. (CK)
Descriptors: Behavioral Science Research, Factor Analysis, Interpersonal Competence, Psychotherapy
Ward, J. – Brit J Educ Psychol, 1970
Descriptors: Elementary School Students, Factor Analysis, Perception Tests, Visual Perception
Hackman, J. Richard; Dysinger, Wendell S. – J Exp Educ, 1970
Descriptors: Behavioral Science Research, College Students, Factor Analysis, Withdrawal (Education)
Humphreys, Lloyd G.; Ilgen, Daniel R. – Educ Psychol Meas, 1969
Research supported by the Office of Naval Research under Contract, NOOO 14-67-A-0305-0012.
Descriptors: Correlation, Data Analysis, Factor Analysis, Measurement Techniques
Peer reviewedRozeboom, William W. – Psychometrika, 1982
Bounds for the multiple correlation of common factors with the items which comprise those factors are developed. It is then shown that under broad, but not completely general, conditions, the circumstances under which an infinite item domain does or does not perfectly determine selected subsets of its common factors. (Author/JKS)
Descriptors: Factor Analysis, Item Analysis, Multiple Regression Analysis, Test Items
Peer reviewedGerbing, David W.; Hunter, John E. – Educational and Psychological Measurement, 1982
In a LISREL-IV analysis, a method of specifying a priori the variances of the latent variables for interpretability is demonstrated. The potential confusion of the metric of the latent variables is discussed, since many of the parameter estimates are a function of the metric. (Author/CM)
Descriptors: Computer Programs, Factor Analysis, Mathematical Models, Maximum Likelihood Statistics
Peer reviewedPruzek, Robert M.; Rabinowitz, Stanley N. – American Educational Research Journal, 1981
Simple modifications of principal component methods are described that have distinct advantages for structural analysis of relations among educational and psychological variables. The methods are contrasted theoretically and empirically with conventional principal component methods and with maximum likelihood factor analysis. (Author/GK)
Descriptors: Factor Analysis, Mathematical Models, Maximum Likelihood Statistics, Multivariate Analysis


