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Marsh, S. Neil – 2001
This paper explains the meaning and use of three important factor analytic statistics: factor scores, factor structure coefficients, and communality coefficients. For the discussion, 301 observations of junior high school students 11 measured variables from a previous study are analyzed. While factors provide the researcher with general…
Descriptors: Factor Analysis, Factor Structure, Junior High School Students, Junior High Schools
Peer reviewed Peer reviewed
Edwards, Allen L.; Abbott, Robert D. – Educational and Psychological Measurement, 1973
Study was undertaken to determine the degree to which the EPPS, CPI, and 16 PF scales are correlated with the EPI scales and to determine the degree to which the scales in all four inventories are measuring the same common traits. (Authors)
Descriptors: Comparative Analysis, Factor Structure, Measurement Instruments, Personality Assessment
Peer reviewed Peer reviewed
Ten Berge, Jos M. F. – Educational and Psychological Measurement, 1972
In the present article it is argued that the Least Squares Simplex Data Matrix Solution does not deal adequately with difficulty factors inasmuch as the theoretical foundation is insufficient. (Author/CB)
Descriptors: Factor Analysis, Factor Structure, Least Squares Statistics, Mathematical Models
Peer reviewed Peer reviewed
Kaiser, Henry F.; Hunka, Steve – Educational and Psychological Measurement, 1973
Authors conclude that, in the world of real data sample correlation matrices, Guttman's stronger lower bound is not of practical use in determining the effective number of common factors. (Authors/CB)
Descriptors: Factor Analysis, Factor Structure, Item Sampling, Mathematical Applications
Peer reviewed Peer reviewed
Bloxom, Bruce – Psychometrika, 1972
Paper develops a model which expresses pair comparisons as a function of (a) affective values which form a perfect simplex, (b) systematic (constant over replications) deviations from the simplex-structured affective values, and (c) errors of measurement for the pair comparisons. (Author)
Descriptors: Analysis of Covariance, Factor Structure, Goodness of Fit, Mathematical Models
Peer reviewed Peer reviewed
Levy, Philip – British Journal of Psychology, 1972
Several alternative solutions are offered to problem posed in AA 513 150. (MB)
Descriptors: Conceptual Schemes, Data Collection, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
Shay, Carleton B.; And Others – Educational and Psychological Measurement, 1972
Purpose of the investigation was to identify the factorial dimensions of 25 characteristics on a scale for rating research articles. (Authors)
Descriptors: Educational Researchers, Factor Analysis, Factor Structure, Rating Scales
Peer reviewed Peer reviewed
Hollenbeck, George P.; Kaufman, Alan S. – Journal of Clinical Psychology, 1973
Results were quite similar for each of the factor analytic procedures, an indication of a strong underlying structure of the WPPSI tests. Regardless of the factor analytic technique used, two factors appeared--one clearly verbal and the other clearly performance--at each of the three age levels. (Authors)
Descriptors: Factor Analysis, Factor Structure, Intelligence Tests, Tables (Data)
Applbaum, Ronald F.; Anatol, Karl W. E. – Speech Monographs, 1972
Descriptors: Audiences, Credibility, Data Analysis, Factor Structure
Peer reviewed Peer reviewed
Kass, Heidi – Journal of Research in Science Teaching, 1971
A technique of multidimensional scaling was applied to student perceptions of similarities in difficulty of twenty mechanics concepts presented in random pairwise combinations. Two distinct dimensions, one relating to motion and the other to the vector nature of some of the concepts, appeared in three separate groups, when either four or five…
Descriptors: Cognitive Processes, Factor Analysis, Factor Structure, Learning Theories
Peer reviewed Peer reviewed
Rachman, D.; And Others – Educational and Psychological Measurement, 1981
A confirmatory factor analysis provided support for the result that Holland's Self-Directed Search measures six factors: realistic, investigative, artistic, social-enterprising, conventional, and a sixth general interest factor. Generally, the psychological relationship among types confirms the hexagon model proposed by Holland and others.…
Descriptors: Accountants, Factor Analysis, Factor Structure, Interest Inventories
Peer reviewed Peer reviewed
Athanasou, James A.; And Others – Educational and Psychological Measurement, 1981
The structure of the six vocational interests measured by the Holland Vocational Preference Inventory was identified. Results of two separate analyses showed that a general factor accounted for much of the total variance. Remaining bipolar factors supported previous classifications of interests. (Author/GK)
Descriptors: Factor Structure, Foreign Countries, High Schools, Interest Inventories
Peer reviewed Peer reviewed
Johnstone, J. N.; O'Mara, Deborah A. – Studies in Educational Evaluation, 1981
Educational changes included: (1) expansion of preschool facilities; (2) increased involvement of students in secondary education and in tertiary education; and (3) marked fluctuation in both the economic status of teachers and financial involvement of the aggregate of six state governments in education. (RL)
Descriptors: Educational Assessment, Educational Change, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
Walkey, Frank H. – Journal of Consulting and Clinical Psychology, 1982
Examined the factor structure and subscale reliabilities of an eight-dimensional measure of fear of death (the Multidimensional Fear of Death Scale) using a New Zealand sample. Comparison with the results of a United States study showed that both the subscale reliabilities and the factor structure were almost perfectly reproduced. (Author)
Descriptors: Comparative Analysis, Death, Factor Structure, Fear
Peer reviewed Peer reviewed
Silverstein, A. B. – Journal of Consulting and Clinical Psychology, 1982
Subjected the standardization data for the Wechsler Adult Intelligence Scale-Revised (WAIS-R) and the original Wechsler Adult Intelligence Scale (WAIS) to principal-factor analysis. A two-factor solution was adopted for each scale. The stability of the two factors, Verbal Comprehension and Perceptual Organization, was high both within and between…
Descriptors: Adults, Comparative Testing, Factor Structure, Intelligence Tests
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