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Schooler, Carmi; Silverman, Julian – J Abnorm Psychol, 1969
Descriptors: Factor Analysis, Patients, Perception, Responses
Peer reviewedBiaggio, Mary Kay; Supplee, Katherine A. – Journal of Psychology, 1983
Examines the validity of three dimensions of aesthetic perception: hedonic value, arousal, and uncertainty. Hedonic interest and arousal factors were found to differ from factors previously reported, while the uncertainty factor paralleled that previously reported. (Author/RH)
Descriptors: Aesthetic Values, Factor Analysis, Perception, Undergraduate Students
Peer reviewedStavig, Gordon R.; Acock, Alan C. – Multivariate Behavioral Research, 1981
Examples are given to show how the semistrandardized (SS) regression coefficient provides information not given by the conventional standardized regression coefficients used in factor, canonical, and path analysis. (Author/RL)
Descriptors: Factor Analysis, Mathematical Formulas, Multivariate Analysis, Path Analysis
Peer reviewedShapiro, Alexander – Psychometrika, 1982
The extent to which one can reduce the rank of a symmetric matrix by only changing its diagonal entries is discussed. Extension of this work to minimum trace factor analysis is presented. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Mathematical Models, Matrices
Peer reviewedKaufman, Alan S. – Journal of Learning Disabilities, 1981
The paper reviews Wechsler Intelligence Scale for Children-Revised research that has particular pertinence for the assessment of learning disabilities (LD). Three topics are treated in-depth: factor analysis investigations, recategorization of subtests into Bannatyne's four groupings, and interscale/intrascale scatter. (Author)
Descriptors: Disability Identification, Elementary Education, Factor Analysis, Learning Disabilities
Peer reviewedFindeisen, Peter – Psychometrika, 1979
Guttman's assumption underlying his definition of "total images" is rejected. Partial images are not generally convergent everywhere. Even divergence everywhere is shown to be possible. The convergence type always found on partial images is convergence in quadratic mean; hence, total images are redefined as quadratic mean-limits.…
Descriptors: Factor Analysis, Mathematical Formulas, Multiple Regression Analysis, Sampling
Peer reviewedSnyder, Conrad W., Jr.; Law, Henry G. – Multivariate Behavioral Research, 1979
As psychologists increasingly employ more elaborate and comprehensive data collection schemes, sophisticated analytic techniques will play an ever more important role in understanding behavioral data. This paper outlines one such promising technique, Tucker's three-mode factor analysis, which enables the researcher to explore new taxonomic…
Descriptors: Computer Programs, Factor Analysis, Longitudinal Studies, Mathematical Models
Peer reviewedFinkbeiner, Carl – Psychometrika, 1979
A maximum likelihood method of estimating the parameters of the multiple factor model when data are missing from the sample is presented. A Monte Carlo study compares the method with five heuristic methods of dealing with the problem. The present method shows some advantage in accuracy of estimation. (Author/CTM)
Descriptors: Factor Analysis, Mathematical Models, Maximum Likelihood Statistics, Simulation
Peer reviewedLee, Sik-Yum – Psychometrika, 1981
Confirmatory factor analysis is considered from a Bayesian viewpoint, in which prior information concerning parameters is incorporated in the analysis. An interactive algorithm is developed to obtain the Bayesian estimates. A numerical example is presented. (Author/JKS)
Descriptors: Algorithms, Bayesian Statistics, Factor Analysis, Maximum Likelihood Statistics
Peer reviewedGorsuch, Richard L. – Educational and Psychological Measurement, 1980
Kaiser and Michael reported a formula for factor scores giving an internal consistency reliability and its square root, the domain validity. Using this formula is inappropriate if variables are included which have trival weights rather than salient weights for the factor for which the score is being computed. (Author/RL)
Descriptors: Factor Analysis, Factor Structure, Scoring Formulas, Test Reliability
Peer reviewedBolon, Kevin; Barling, Julian – Journal of Genetic Psychology, 1980
Investigates the capacity of the Zung Self-Rating Depression Scale for providing specific multidimensional descriptors of depressive behavior. Ideational, physiological and behavioral depression factors were evident in data from 96 normal, white university student volunteers. (Author/RH)
Descriptors: Depression (Psychology), Factor Analysis, Test Validity, Undergraduate Students
Certo, Samuel C.; Lamb, Steven W. – Journal of Experiential Learning and Simulation, 1980
Results of this study imply substantial instrument bias in the learning styles inventory (LSI) and a modified Likert-scale version of the LSI. (RAO)
Descriptors: Cognitive Style, Factor Analysis, Measures (Individuals), Statistical Bias
Peer reviewedKlein, Alice E. – Educational and Psychological Measurement, 1979
The latest revision of the Stanford Achievement Test (SAT), Primary Battery I, consists of seven subtests combined to yield three subtotal scores and one Total Battery score. A factor analysis was performed on the SAT-I scores of 927 beginning second-grade pupils. The analysis showed two correlated factors. (Author/CTM)
Descriptors: Achievement Tests, Factor Analysis, Grade 2, Primary Education
Peer reviewedJackson, David J. – Psychometrika, 1980
The squared multiple correlation of a variable with the remaining variables in a variable set is shown to be a function of the communalities and the squared canonical correlations between the observed variables and common factors. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Hypothesis Testing, Multiple Regression Analysis
Peer reviewedImperio, Anne M.; Chabot, David R. – Perceptual and Motor Skills, 1980
Schaeffer's revised version of the Children's Reports of Parental Behavior Inventory was administered to 90 male delinquents. Factor analyses of their reports on both fathers and mothers yielded three factors: Rejection v Acceptance, Psychological Control, and Lax Control. The factor structures were similar in both analyses. (Author)
Descriptors: Adolescents, Attitudes, Delinquency, Factor Analysis


