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Peer reviewedSilverstein, A. B. – Educational and Psychological Measurement, 1986
The intercorrelations among the 11 subtests second edition of the Detroit Tests of Learning Aptitude (DTLA-2) for a portion of the standardization sample were subjected to both factor analysis and cluster analysis. None of the factors or clusters corresponded exactly to any of the eight DTLA-2 composities. (Author/LMO)
Descriptors: Aptitude Tests, Cluster Analysis, Correlation, Elementary Secondary Education
Peer reviewedKarnes, Frances A.; And Others – Psychology in the Schools, 1986
Kaufman Assessment Battery for Children (K-ABC) processing and achievement subtests were administered to 41 gifted students in grades four through six. Scores were compared to concurrent achievement measures from the California Achievement Test and other mental ability measures. Patterns of intercorrelations suggest that the K-ABC achievement…
Descriptors: Academically Gifted, Achievement Tests, Comparative Analysis, Correlation
Peer reviewedMuthen, Bengt – Psychometrika, 1984
A structural equation model is proposed with a generalized measurement part, allowing for dichotomous and ordered categorical variables (indicators) in addition to continuous ones. A computationally feasible three-stage estimator is proposed for any combination of observed variable types. Two multiple-indicator modeling examples are given.…
Descriptors: Correlation, Goodness of Fit, Hypothesis Testing, Least Squares Statistics
Peer reviewedArvey, Richard D.; And Others – Personnel Psychology, 1985
Investigates sample size requirements needed to achieve various levels of statistical power using posttest-only, gain-score, and analysis of covariance designs in evaluating training interventions. Results indicate the power to detect true effects differ according to type of design, correlation between pre- and posttest, and size of effect due to…
Descriptors: Correlation, Evaluation Methods, Power (Statistics), Research Design
Peer reviewedCohen, Ayala – Psychometrika, 1986
This article proposes a method for testing equality of variances which exploits Pitman's idea and the computational power of simulations. Several advantages to this method are illustrated. A Monte Carlo study for several combinations of sample sizes and number of variables is presented. (Author/LMO)
Descriptors: Analysis of Covariance, Computer Simulation, Correlation, Hypothesis Testing
Peer reviewedClarke, A. D. B.; Clarke, A. M. – Journal of Child Psychology and Psychiatry, 1984
Explores the degree to which individuals remain consistent within a framework of changing behavioral characteristics. Includes discussions of problems of measurement; correlational studies; and studies of changing levels under normal conditions, after major environmental shifts, and across generations. (RH)
Descriptors: Correlation, Individual Characteristics, Individual Development, Intervention
Peer reviewedMcGue, Matt; And Others – Intelligence, 1984
A battery of information processing measures and psychometric tests of specific and general cognitive abilities was administered to 34 monozygotic and 13 dizygotic reared apart twin pairs or triplets. Correlations between information processing parameters and psychometric abilities as well as twin resemblances for the information processing…
Descriptors: Adults, Cognitive Ability, Cognitive Processes, Cognitive Style
Peer reviewedCohen, Jacob; Nee, John C. M. – Educational and Psychological Measurement, 1984
Two measures of association between sets of variables have been proposed for set correlation: the proportion of generalized variance, and the proportion of additionive variance. Because these measures are strongly positively biased, approximate expected values and estimators of these measures are derived and checked. (Author/BW)
Descriptors: Correlation, Estimation (Mathematics), Mathematical Formulas, Matrices
Peer reviewedWolff, Alan S.; Frey, Peter W. – Educational Research Quarterly, 1985
As part of a larger experiment to study computer-based methods of teaching Othello, 24 subjects who had never played the game were pretested with visual-spatial tests. After 16 games of Othello, subjects were tested on knowledge of the game. Correlations of pretest and posttest scores were computed. (LMO)
Descriptors: Correlation, Games, Higher Education, Pattern Recognition
Peer reviewedPaul, Steven M. – Journal of Experimental Education, 1986
Normative data for the Advanced Raven's Progressive Matrices are presented based on 300 University of California, Berkeley, students. Correlations with the Wechsler Adult Intelligence Scale and the Terman Concept Mastery Test are explored. The relationship between the Advanced Raven's Progressive Matrices and Spearman's g is explored. (Author)
Descriptors: Aptitude Tests, Cognitive Measurement, Comparative Testing, Correlation
Peer reviewedHaase, Richard F.; Juster, Harlan R. – Educational and Psychological Measurement, 1986
Structural equation models require formidable computational techniques. Testing the goodness of fit involves discrepancies between original correlations among variables and correlations estimated by solved path coefficients. A BASIC computer program which solves these problems is presented and discussed. (Author/GDC)
Descriptors: Analysis of Covariance, Computer Software, Correlation, Goodness of Fit
Peer reviewedOrme, John G.; And Others – Journal of Clinical Psychology, 1986
Examined the factorial and discriminant validity of the Center for Epidemiological Studies Depression (CES-D) scale for 116 parents participating in family support programs. Factorial validity was adequate, and results indicated a moderate correlation between the CES-D and self-esteem and state anxiety. However, a high correlation was obtained…
Descriptors: Anxiety, Child Abuse, Correlation, Depression (Psychology)
Peer reviewedSchofield, Neville J.; Ashman, Adrian F. – Intelligence, 1986
The relationship between forward and backward digit span and basic cognitive processes was examined. Subjects were administered measures of sequential processing, simultaneous processing, and planning. Correlational analyses indicated the serial processing character of forward digit span, and the relationship between backward digit span and…
Descriptors: Cognitive Processes, Correlation, Elementary Education, Foreign Countries
Peer reviewedBudescu, David V. – Educational and Psychological Measurement, 1983
The degree of indeterminacy of the factor score estimates is biased and can lead to erroneous conclusion regarding the nature of the results. The magnitude of this bias is illustrated and guidelines for describing factor analytic studies using factor scores are offered. (Author/PN)
Descriptors: Correlation, Estimation (Mathematics), Factor Analysis, Factor Structure
Peer reviewedSpencer, Bruce D. – Journal of Educational Measurement, 1983
Because test scores are ordinal not cordinal attributes, the average test score often is a misleading way to summarize the scores of a group of individuals. Similarly, correlation coefficients may be misleading summary measures of association between test scores. Proper, readily interpretable, summary statistics are developed from a theory of…
Descriptors: Correlation, Measurement Techniques, Scores, Statistical Analysis


