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A Reliability and Validity Investigation of the Multidimensional-Multiattributional Causality Scale.
Peer reviewedPowers, Stephen; And Others – Educational and Psychological Measurement, 1985
College students were administered the Multidimensional-Multiattributional Causality Scale (MMCS). Most of the 3-item subscales had adequate reliabilities. A factor analysis of intercorrelations of responses revealed three pure factors and three ambiguous factors. Results provide partial support for reliability and factorial validity of the MMCS.…
Descriptors: Attitude Measures, Attribution Theory, Factor Analysis, Factor Structure
Peer reviewedShipper, Frank; And Others – Educational and Psychological Measurement, 1986
Despite much evidence that the Jenkins Activity Survey Type A (JAS Type A) scale is lacking in essential psychometric properties, it continues to be widely used for measuring coronary-prone behavior. Four psychometric properties of the scale were assessed. The scale failed to satisfy accepted reliability and validity criteria. (Author/JAZ)
Descriptors: Behavior Rating Scales, Factor Analysis, Generalizability Theory, Measurement Techniques
Peer reviewedRice, Treva; And Others – Educational and Psychological Measurement, 1986
A battery of nine cognitive abilities tests to assess verbal, spatial, perceptual speed, and memory abilities in children at age four was constructed and administered to a sample of 267 children in the Colorado Adoption Project. Exploratory and confirmatory factor analyses revealed four correlated factors that adequately describe the covariation…
Descriptors: Cognitive Ability, Cognitive Measurement, Cognitive Tests, Correlation
Peer reviewedThompson, Bruce; Borrelo, Gloria M. – Educational and Psychological Measurement, 1986
The structure and item performance of the Myers-Briggs Type Indicator was investigated using data from 39 college students. Factor analysis was applied to the items, factor adequacy and invariance coefficients were computed, and the appropriateness of the recommended item weights was examined. Results strongly supported the instrument's construct…
Descriptors: Behavior Rating Scales, College Students, Correlation, Factor Analysis
Peer reviewedLohnes, Paul R. – American Educational Research Journal, 1986
Correlated Factors Modeling (CFM) is proposed as an alternative to LISREL and similar methods of estimating structural equations. CFM employs weak mathematics and is appropriate for a rapid, preliminary look at a model. The factors produced by CFM are exact linear components of their indicator variates. (Author/GDC)
Descriptors: Correlation, Factor Analysis, Foreign Countries, Least Squares Statistics
Peer reviewedCollins, Linda M.; And Others – Multivariate Behavioral Research, 1986
The present study compares the performance of phi coefficients and tetrachorics along two dimensions of factor recovery in binary data. These dimensions are (1) accuracy of nontrivial factor identifications; and (2) factor structure recovery given a priori knowledge of the correct number of factors to rotate. (Author/LMO)
Descriptors: Computer Software, Factor Analysis, Factor Structure, Item Analysis
Eison, James; Pollio, Howard R. – Journal of College Student Personnel, 1985
Factor analysis of six relevant measures indicated that three factors define student learning styles: (a) learning skills, (b) personal reactions to life experiences, and (c) academic work skills. (Author)
Descriptors: Cognitive Style, College Students, Factor Analysis, Higher Education
Peer reviewedBerghel, H. L.; Sallach, David L. – Journal of Educational Computing Research, 1985
Discusses two alternative metrics to detect computer software plagiarism: the Halstead metric drawn from the software science discipline and an ad hoc method drawn from program grading experience and identified by factor analysis. Possible explanations as to why the ad hoc method is more useful in identical-task environments are considered.…
Descriptors: Computer Oriented Programs, Computer Software, Design, Factor Analysis
Frazer, Gregory H.; Gold, Robert S. – Educational and Psychological Research, 1985
This study consisted of a random sampling of professional readers' assessments of selected health education journals. The sample consisted of 250 college-affilated health educators evaluating seven journals. (Author/LMO)
Descriptors: Audience Analysis, Evaluation, Factor Analysis, Health Education
Peer reviewedFurst, Edward J.; Steele, Betty Lou – Journal of Experimental Education, 1986
This study investigated the reasons and motivations of older adults in pursuing adult education at universities. Data were collected on 78 learners aged 62-85. Both factor and cluster analysis were used on an inventory of reasons. The factor pattern differed from patterns found on younger adults. (JAZ)
Descriptors: Cluster Analysis, Factor Analysis, Goal Orientation, Higher Education
Peer reviewedEpstein, Michael H.; And Others – Learning Disability Quarterly, 1983
Problem-behavior rating scale data on elementary-aged learning disabled and normal boys were factor analyzed. Somewhat different factors were identified for normal and learning disabled groups. Implications of the findings for hyperactivity as distinct from other conduct problems and for classifying youngsters' behavior and emotional problems are…
Descriptors: Behavior Problems, Behavior Rating Scales, Classification, Disability Identification
Peer reviewedMartin, David J.; Dunbar, Stephen B. – Educational and Psychological Measurement, 1985
The factorial validity of the Iowa Tests of Basic Skills was investigated. Hierarchical factor analysis was performed with a subset of the standardization data to explore the presence of second-order group factors. Results supported the construct validity of Language and Mathematics subscales. Verbal and Visual Information group factors were…
Descriptors: Achievement Tests, Factor Analysis, Factor Structure, Intermediate Grades
Peer reviewedStewart, Robert A. C.; Ahmed, S. M. S. – Social Behavior and Personality, 1984
Administered the 80-item Stewart Personality Inventory (SPI) to 193 college students. Factor analysis yielded a factor structure similar to a previous study. Presents a summary of the inventory, scoring methods, and correlations of subscales to other personality inventories. Results support the SPI's validity. (BH)
Descriptors: College Students, Factor Analysis, Factor Structure, Foreign Countries
Peer reviewedGustafsson, Jan-Eric. – Intelligence, 1984
This study was designed to test the reliability of five major models of the structure of cognitive abilities. A battery of 16 tests was administered to 1000 Swedish sixth graders. Based on the results, a three-level hierarchical LISREL-based model (the HILI-model) is suggested. (Author/EGS)
Descriptors: Cognitive Ability, Cognitive Tests, Factor Analysis, Factor Structure
Peer reviewedFleming, James S.; Spooner, P. Scott – Journal of Clinical Psychology, 1985
Factor analyzed combined items from Rotter's Internal-External Scale and Levenson's Multidimensional Internal External Locus of Control scales revealing factors similar to Difficult World, Just World, Predictable World, and Politically Responsive World, and additional factor, Friendly World. Most factors were correlated with masculinity; only…
Descriptors: Adjustment (to Environment), College Students, Factor Analysis, Higher Education


