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ten Berge, Jos M. F.; Kiers, Henk A. L. – Psychometrika, 1989
The DEDICOM (decomposition into directional components) model provides a framework for analyzing square but asymmetric matrices of directional relationships among "n" objects or persons in terms of a small number of components. One version of DEDICOM ignores the diagonal entries of the matrices. A straightforward computational solution…
Descriptors: Algorithms, Factor Analysis, Goodness of Fit, Least Squares Statistics
Atkinson, Leslie; Cyr, J. J. – American Journal on Mental Retardation, 1988
Wechsler Adult Intelligence Scale-Revised subtests, as administered to 204 adults with low IQs, were factor analyzed. Solutions proved comparable to structures extracted from the normative data and to solutions based on other standardized tests for persons with low IQs. (Author)
Descriptors: Adults, Factor Analysis, Intelligence Tests, Mild Mental Retardation
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Sinha, Atanu R.; Buchanan, Bruce S. – Psychometrika, 1995
This paper presents an analysis of the stability of principal components. Stability is measured by the expectation of the absolute inner product of the sample principal component with the corresponding population component. The usefulness and predictive validity of the model were supported through simulation. (SLD)
Descriptors: Evaluation Utilization, Factor Analysis, Models, Predictive Validity
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Schaie, K. Warner – International Journal of Aging and Human Development, 1992
Delineates how changes in research methodology have impacted field of gerontology over past three decades. Illustrates impact of methodological changes on gerontology by discussing example of age-cohort-period problem as an innovation in research design. Examines case of confirmatory factor analysis as an illustration of how methodological…
Descriptors: Change, Cohort Analysis, Factor Analysis, Gerontology
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Dunlap, William P.; Cornwell, John M. – Multivariate Behavioral Research, 1994
The fundamental problems that ipsative measures impose for factor analysis are shown analytically. Normative and ipsative correlation matrices are used to show that the factor pattern induced by ipsativity will overwhelm any factor structure seen with normative factor analysis, making factor analysis not interpretable. (SLD)
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
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ten Berge, Jos M. F.; Zegers, Frits E. – Multivariate Behavioral Research, 1990
Arguments by J. Levin (1988) challenging the convergence properties of the Harman and Jones (1966) method of Minres factor analysis are shown to be invalid. Claims about the invalidity of a rank-one version of the Harman and Jones method are also refuted. (TJH)
Descriptors: Algorithms, Comparative Analysis, Equations (Mathematics), Factor Analysis
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Mieczkowski, Tammy A.; And Others – Suicide and Life-Threatening Behavior, 1993
Analyzed Suicide Intent Scale using data from 98 psychiatric inpatients who had attempted suicide. Analysis resulted in two-factor solution: Lethal Intent factor contained items pertaining to subjective level of lethal intent; Planning factor contained items related to objective planning for attempt. Findings suggest that Suicide Intent Scale can…
Descriptors: Factor Analysis, Institutionalized Persons, Patients, Psychiatric Hospitals
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Feldman, Lisa A. – Journal of Consulting and Clinical Psychology, 1993
The hypothesis that anxiety and depression self-report scales tap distinct constructs was tested using confirmatory factor analysis on mood data from nonclinical samples. Results provide evidence that anxiety and depression self-report scales do not measure discriminant mood constructs and may, therefore, be better thought of as measures of…
Descriptors: Anxiety, Depression (Psychology), Factor Analysis, Moods
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Craighead, W. Edward; Smucker, Mervin R.; Wilcoxon Craighead, Linda; Ilardi, Stephen S. – Psychological Assessment, 1998
The factor structure of the Children's Depression Inventory (CDI) (M. Kovacs, 1992) was evaluated in a community sample of 1777 children and 924 adolescents. There were five first-order factors for the child group, and the same five plus one more for the adolescents. Results support the stability and predictability of the obtained factor…
Descriptors: Adolescents, Children, Depression (Psychology), Factor Analysis
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Chung, Y. Barry; Harmon, Lenore W. – Journal of Career Assessment, 1999
The reliability and validity of the Perceived Occupational Opportunity Scale and Perceived Occupational Discrimination Scale were tested with 231 black undergraduates. Additional support was obtained using data from 105 black and 72 white high school students. (SK)
Descriptors: Attitudes, Blacks, Employment Opportunities, Factor Analysis
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Kiers, Henk A. L. – Psychometrika, 1997
Five techniques that combine the ideals of rotation of matrices of factor loadings to optimal agreement and rotation to simple structure are compared on the basis of empirical and contrived data. Combining a generalized Procrustes analysis with Varimax on the main of the matched loading matrices performed well on all criteria. (SLD)
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Least Squares Statistics
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Tokar, David M.; Fischer, Ann R. – Journal of Vocational Behavior, 1998
When the NEO Five-Factor Inventory and the Self-Directed Search were completed by 490 workers, there were strong links between Holland personality types and Prediger's dimensions of data/ideas and things/people. Links were somewhat different for men and women in terms of magnitude and pattern. Dimensions were strongly associated with the…
Descriptors: Factor Analysis, Interest Inventories, Personality Measures, Personality Theories
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Grice, James W.; Harris, Richard J. – Multivariate Behavioral Research, 1998
An alternative strategy for computing factor scores was introduced and compared to a popular scoring procedure. The new strategy, which involves unit-weighted composites of standardized items with salient factor score coefficients, is shown superior to the common method. Implications of findings are discussed. (SLD)
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Regression (Statistics)
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Cliff, Norman; Caruso, John C. – Multivariate Behavioral Research, 1998
Examines the factor structure of the Wechsler Adult Intelligence Scale-Revised across nine age groups using several methods of factor analysis, including reliable component analysis (RCA). Factor structure is discussed, and the usefulness of the RCA method is demonstrated. (SLD)
Descriptors: Adults, Age Differences, Factor Analysis, Factor Structure
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Wang, Jichuan; Siegal, Harvey A.; Falck, Russell S.; Carlson, Robert G. – Structural Equation Modeling, 2001
Used nine different confirmatory factor analysis models to test the factorial structure of Rosenberg's (M. Rosenberg, 1965) self-esteem scale with a sample of 430 crack-cocaine users. Results partly support earlier research to show a single global self-esteem factor underlying responses to the Rosenberg scale, method effects associated with item…
Descriptors: Adults, Crack, Drug Use, Factor Analysis
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