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Peer reviewedArbit, Jack; Zager, Robert – Journal of Clinical Psychology, 1978
Assessed the psychometric structure of a neuropsychological test battery in order to assist in understanding the predictive and descriptive components in the diagnosis of organic brain disturbance. The methods chosen were both linear and nonlinear, factor analysis and hierarchical cluster analysis. (Author)
Descriptors: Clinical Psychology, Cluster Analysis, Cognitive Ability, Factor Analysis
Peer reviewedWimberley, Ronald C. – Educational and Psychological Measurement, 1978
Earlier comparisons of packaged programs for factor analysis are updated because of recent revision in some programs. The top status of SPSS is no longer so apparent as formerly. BMD and SAS now have expanded options. SAS has flexibility and convenience. (Author)
Descriptors: Comparative Analysis, Computer Programs, Factor Analysis, Performance Criteria
Peer reviewedMulaik, Stanley A.; McDonald, Roderick P. – Psychometrika, 1978
Solutions for the indeterminate common factor of a group of variables satisfying the single common factor model are not unique. This paper examines a number of thereoms concerning that problem and draws conclusions from them for factor analysis in general. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Mathematical Models, Matrices
Peer reviewedLoney, Jan; And Others – Journal of Abnormal Psychology, 1978
An analysis of ratings of primary symptoms (hyperactivity and inattention) and secondary symptoms (self-esteem deficits and delinquent behavior) that are thought to arise from the hyperkinetic child's flawed interaction from his environment. Such an analysis could produce separate groups of clusters of symptoms descriptive of the hyperkinetic/MBD…
Descriptors: Aggression, Disability Identification, Factor Analysis, Hyperactivity
Peer reviewedYeany, Russell H.; Capie, William R. – Journal of Research in Science Teaching, 1978
Using the results of a survey of members of the National Association for Research in Science Teaching (NARST) (See related article SE 521 919), factor analysis was used to identify six major areas of research priorities. (CP)
Descriptors: Educational Objectives, Educational Research, Factor Analysis, Opinions
Landsmann, Leanna – Today's Education, 1978
Opinions from a survey of 9,000 teachers on teacher health are summarized. The role of the school principal in promoting teacher health is considered crucial. (MJB)
Descriptors: Administrator Role, Data Analysis, Factor Analysis, Health Conditions
Peer reviewedReynolds, Carl H.; Nichols, Robert C. – Educational and Psychological Measurement, 1977
A factor analytic study investigated the validity of the California Psychological Inventory. Sixteen of the eighteen scales were investigated in relation to criterion variables and most showed that the factor scales were valid measures. (JKS)
Descriptors: Factor Analysis, Factor Structure, High School Students, Personality Measures
Peer reviewedJarnecke, Roy W.; Chambers, Eugene D. – Journal of Consulting and Clinical Psychology, 1977
Minnesota Multiphasic Personality Inventory (MMPI) protocols for 242 acute psychiatric inpatients were scored on the 13 content scales. The age, IQ, and education of each subject were also recorded. Content-scale scores were compared with scores from normal groups and were found to be significantly greater. (Author)
Descriptors: Factor Analysis, Personality Measures, Research Projects, Scaling
Peer reviewedGiambra, Leonard M. – International Journal of Aging and Human Development, 1977
Using the Imaginal Processes Inventory, aspects of daydreaming and related mental activity were examined in a replication sample of males aged 17 to 91 years. The characteristics of daydreaming obtained in an original sample were obtained in the replication sample, thus supporting the outcomes reported earlier. (Author)
Descriptors: Age Differences, Cognitive Processes, Factor Analysis, Fantasy
Peer reviewedRubin, Kenneth H.; And Others – Journal of Genetic Psychology, 1978
Examines the relationship between performance on two measures of fluid intelligence, one measure of crystallized intelligence, and three Piagetian measures of intelligence. Subjects were 102 first- and second-grade students. (BD)
Descriptors: Comparative Analysis, Elementary School Students, Factor Analysis, Intelligence
Peer reviewedMallinger, Barry L. – Perceptual and Motor Skills, 1977
Descriptors: Classification, Exceptional Child Research, Factor Analysis, Intelligence Tests
Peer reviewedHooker, Karen; And Others – Developmental Psychology, 1987
Temperament is examined from a longitudinal, within-individual perspective in order to investigate short-term change and patterns of temperament changes. For 100 consectutive days five mothers completed a temperament survey, reporting on their own and their two-year-old children's behavior. Patterns of change were identified for both mothers and…
Descriptors: Behavior Change, Behavior Patterns, Factor Analysis, Longitudinal Studies
Peer reviewedStayer, Faith M.; Dillard, Jerry W. – Psychology: A Quarterly Journal of Human Behavior, 1986
Identifies factors worth considering when selecting a particular consultation approach. Analyzes various factors which related to consultation styles and philosophies. Factor analysis indicated two specific categories: directive and nondirective. Discusses variance and factors which affect the choice of consultation styles, regarding Process…
Descriptors: Consultants, Counseling Techniques, Counselor Client Relationship, Counselor Role
Peer reviewedComrey, Andrew L.; And Others – Multivariate Behavioral Research, 1988
Three methods were used to test the factor structure of the Eysenck Personality Inventory administered to 583 Australians. The preferred method was to extract factors by the minimum residual method, use the Tandem Criteria Method, and then rotate that number of factors by the Tandem Criteria I method. (SLD)
Descriptors: Adults, Factor Analysis, Factor Structure, Foreign Countries
Peer reviewedStrommen, Erik – Journal of School Psychology, 1988
Performed confirmatory factor analyses of Kaufman Assessment Battery for Children (K-ABC) using subtest correlations for standardization samples provided in manuals to test hypothesis that factors underlying K-ABC are substantially intercorrelated at all age levels for two- and three-factor models. Findings suggest K-ABC cannot distinguish between…
Descriptors: Children, Cognitive Ability, Cognitive Development, Cognitive Measurement


