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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
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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
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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
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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
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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
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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
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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
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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
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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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Snyder, Douglas K.; Regts, John M. – Journal of Consulting and Clinical Psychology, 1982
Describes two broad-band factor scales of marital distress constructed to supplement existing profile scales of the Marital Satisfaction Inventory. The two new scales, labeled Disaffection and Disharmony, both discriminated between normative and clinical samples. Distinct distributions support the concept of two separate, interactive components of…
Descriptors: Affection, Alienation, Factor Structure, Interpersonal Relationship
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Guttman, Louis – Perceptual and Motor Skills, 1982
Mathematical and statistical relationships between factor analysis and smallest space analysis are discussed. As spatial analysis of correlation matrices, factor analysis is a special case of smallest space analysis. The two differ in six ways: Shepard diagram, dimensionality, correction for communality, similarity coefficients, regions versus…
Descriptors: Factor Analysis, Factor Structure, Item Analysis, Research Methodology
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Hakstian, A. Ralph; And Others – Multivariate Behavioral Research, 1982
Issues related to the decision of the number of factors to retain in factor analyses are identified. Three widely used decision rules--the Kaiser-Guttman (eigenvalue greater than one), scree, and likelihood ratio tests--are investigated using simulated data. Recommendations for use are made. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Factor Analysis, Factor Structure
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Zwick, William R. – Multivariate Behavioral Research, 1982
The performance of four rules for determining the number of components (factors) to retain (Kaiser's eigenvalue greater than one, Cattell's scree, Bartlett's test, and Velicer's Map) was investigated across four systematically varied factors (sample size, number of variables, number of components, and component saturation). (Author/JKS)
Descriptors: Algorithms, Data Analysis, Factor Analysis, Factor Structure
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Lachar, David; Gdowski, Charles L. – Journal of Consulting and Clinical Psychology, 1979
Investigated relationships between empirically determined dimensions of problem behaviors and profile scales of the Personality Inventory for Children. Correlation matrices allowed identification of scale to correlates and their variation by age or sex and facilitated estimates of generalizability of the data. Results provided evidence of scale…
Descriptors: Behavior Problems, Children, Correlation, Factor Structure
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