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Peer reviewedRosen, Anne-Sofie – Journal of Consulting and Clinical Psychology, 1977
Tested the California Psychological Inventory Socialization scale's dimensionality on three groups of male and female, criminal or noncriminal subjects. The fit of a one-factor model for all three groups was tested in a simultaneous factor analysis for several populations, and good fit was obtained. (Author)
Descriptors: Criminals, Factor Analysis, Multidimensional Scaling, Psychological Testing
Peer reviewedUndheim, Johan Olav; Gustafsson, Jan-Eric – Multivariate Behavioral Research, 1987
The hypothesis that fluid intelligence is equivalent to the factor of general intelligence is investigated using LISREL to specify higher-order models in reanalyses of three sets of psychometric data from subjects 11, 13, and 15 years old. The three studies showed fluid intelligence to be equivalent with a general factor. (LMO)
Descriptors: Cognitive Ability, Elementary Secondary Education, Factor Analysis, Foreign Countries
Peer reviewedHerberger, Rainer – Bulletin of the Council for Research in Music Education, 1987
Explores which styles, genres, and trends in contemporary music are most popular among 15 year-old high school students in the German Democratic Republic. Contends that such information is important for helping teachers improve planning and instruction in music education classes. (RKM)
Descriptors: Educational Research, Factor Analysis, Foreign Countries, Music Appreciation
Peer reviewedThorndike, Robert L. – Journal of Vocational Behavior, 1986
Analyzed several data sets to compare the prediction possible from a uniform general factor score with that produced by a separately tailored set of regression weights when those weights are applied to a new cross-validation sample. Found that with smaller samples, the uniform general factor score was clearly superior. (Author/ABB)
Descriptors: Ability, Aptitude Tests, Cross Sectional Studies, Factor Analysis
Peer reviewedRindskopf, David; Rose, Tedd – Multivariate Behavioral Research, 1988
Confirmatory factor analysis was applied to test second- and higher-order factor models in the areas of structure of abilities, allometry, and the separation of specific and error variance estimates. The estimation of validity and reliability, second-order models within factor analysis models, and the concept of discriminability were also studied.…
Descriptors: Discriminant Analysis, Error of Measurement, Estimation (Mathematics), Factor Analysis
Peer reviewedBarnard, Wynette S.; Wentling, Tim L. – Journal of Industrial Teacher Education, 1987
Over 1,000 Illinois residents involved with vocational education from high school through adult education, as administrators, teachers, students, advisors, and employers, were surveyed to obtain their perceptions of what current emphases are being taught in vocational education programs. Included are their views on what skills and knowledge should…
Descriptors: Educational Attitudes, Educational Needs, Factor Analysis, Job Skills
Peer reviewedGraham, Steve; And Others – Educational and Psychological Measurement, 1985
The present study replicated an earlier investigation using the Pupil Control Ideology (PCI). The findings were congruent with earlier results. Consequently, it was recommended that the PCI should be refined and that the 10 item, unidimensional scale should be used in future investigations. (Author/LMO)
Descriptors: Attitude Measures, Factor Analysis, Goodness of Fit, Higher Education
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


