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Hartman, Bruce W.; Fuqua, Dale R. – Vocational Guidance Quarterly, 1982
Identified criterion variables known to be related to educational-vocational indecision. Determined if unique relationships existed between factor structure on the Career Decision Scale (CDS) adapted for graduate students and the criterion variables. Results suggested that factor scores of the CDS measure essentially equivalent components of…
Descriptors: Anxiety, Career Choice, Factor Structure, Graduate Students
Peer reviewedHumphreys, Lloyd G.; Park, Randolph K. – Intelligence, 1981
The "factor" analyses published by Schultz, Kaye, and Hoyer (1980) confused component and factor analysis and led to unwarranted conclusions. The principal factors method yields two factors which support the a priori expectation of a difference between intelligence tasks and spontaneous flexibility tasks. (Author/RD)
Descriptors: Analysis of Covariance, Analysis of Variance, Factor Analysis, Factor Structure
Peer reviewedInman, William C.; Secrest, Barbara T. – Intelligence, 1981
A hierarchical factor solution was obtained from a psychometrized battery of Piagetian-type tasks individually administered to 660 kindergarten children. The first two levels of factors included Piagetian theoretical entities. A third level factor was identified as a g. The association of Piagetian tasks with academic achievement was through the g…
Descriptors: Academic Achievement, Cognitive Development, Cognitive Measurement, Correlation
Peer reviewedJacobson, Neil S. – Journal of Consulting and Clinical Psychology, 1978
Compared two behavioral treatments for marital discord with a nonspecific control and waiting-list control. Behavioral treatments combined problem-solving skills with contingency management procedures, differing only in contracting form, good faith contracts, and quid pro quo contracts. Both behavioral groups improved significantly more than…
Descriptors: Behavior Modification, Contingency Management, Counseling Effectiveness, Factor Structure
Peer reviewedComrey, Andrew L. – Journal of Consulting and Clinical Psychology, 1978
Investigators are urged to plan factor analytic studies prior to collecting the data, to formulate a hypothesized factor structure, to develop several relatively pure measures of each factor expected, and to select an appropriate sample of at least 200 cases. Continuous variables should be used rather than dichotomous variables. (Author)
Descriptors: Behavioral Science Research, Data Collection, Factor Analysis, Factor Structure
Peer reviewedSeddon, G. M.; And Others – Journal of Educational Measurement, 1981
In a Monte Carlo simulation, a methodology was developed to investigate the existence of radex properties among objective test items. In an experiment with items covering four categories of Bloom's cognitive domain taxonomy, the items did not have the factorial properties of a radex with four levels of complexity. (Author/BW)
Descriptors: Correlation, Error of Measurement, Factor Analysis, Factor Structure
Peer reviewedKarnes, Frances A.; Brown, K. Eliot – Journal of Educational Psychology, 1980
The Wechsler Intelligence Scale for Children--Revised was administered to 946 intellectually gifted students, 6 to 16 years old. The factor structure was remarkably similar to that reported for previously studied groups, thus supporting the test's validity. (Author/GDC)
Descriptors: Academically Gifted, Elementary Secondary Education, Factor Structure, Intelligence
Peer reviewedSchultz, Raymond A. – Journal of Educational Psychology, 1979
Study investigated whether instruments assessing the sociopsychological climate of classrooms were appropriate from the students' perspective. The Classroom Environment Scale was administered to 185 high school students. Results indicated that students' importance ratings of sociopsychological climate structures validated a three- dimensiona1…
Descriptors: Adolescents, Classroom Environment, Classroom Research, Factor Analysis
Peer reviewedReynolds, William M.; Greco, Victor T. – Educational and Psychological Measurement, 1980
Data from 182 teachers showed the Educational Attitude Survey to be a factorially valid and highly reliable measure. Its 16 items yield three scores: administrative aspects of mainstreaming, educational aspects, and total score. (Author/CP)
Descriptors: Attitude Measures, Elementary Secondary Education, Factor Structure, Mainstreaming
Peer reviewedBray, James H.; And Others – Applied Psychological Measurement, 1980
The reliability of the four-factor model of the survey of study habits and attitudes (SSHA) was investigated. The reliabilities of the scales were marginal as measured by coefficient alpha. The hierarchical model of the SSHA was not supported by confirmatory factor analysis. (Author/BW)
Descriptors: Factor Analysis, Factor Structure, Higher Education, Learning Processes
Peer reviewedRebok, George W.; Hoyer, William J. – Omega: Journal of Death and Dying, 1979
Reviews literature on the relationship between psychosocial events and dying and death from a behavioral perspective. Individual control has a part in the relationship between the timing of death and psychosocial factors. It is argued that behavioral self-management is a useful therapeutic tool for working with clients nearing death. (Author/BEF)
Descriptors: Behavior Change, Behavior Theories, Death, Factor Structure
Peer reviewedLohnes, Paul R. – American Educational Research Journal, 1979
Factorial modeling is justified as a method for analyzing correlations in support of causal inference. The method is illustrated and compared to path analysis, LISREL-type analysis, canonical correlation, and commonality analysis. Predictions of impacts of policy manipulations are demonstrated. (Author/CP)
Descriptors: Algorithms, Correlation, Educational Research, Factor Structure
Peer reviewedBhushan, Vidya – Educational and Psychological Measurement, 1979
After being translated into French, the Learning Environment Inventory was administered to 3,065 high school students in Quebec. The scales of the Inventory were then related to achievement scores. Results supported the validity of the inventory. (Author/JKS)
Descriptors: Academic Achievement, Educational Environment, Factor Structure, Foreign Countries
Peer reviewedPlatten, Marvin R.; Williams, Larry R. – Educational and Psychological Measurement, 1979
The Piers-Harris Children's Self-Concept Scale was administered twice to a sample of elementary school pupils and both sets of data were factor analyzed. Results led the authors to question the factor stability of the instrument. (Items are included). (JKS)
Descriptors: Factor Structure, Intermediate Grades, Orthogonal Rotation, Self Concept Measures
Peer reviewedRich, Charles E.; And Others – Educational and Psychological Measurement, 1979
Data on the Piers-Harris Children's Self-Concept Scale from a sample of educable mentally retarded elementary school students were factor analyzed. Results indicated some support for the factor validity of the instrument. (JKS)
Descriptors: Elementary Education, Factor Structure, Mild Mental Retardation, Self Concept


