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Shapiro, Alexander; ten Berge, Jos M. F. – Psychometrika, 2002
Developed a closed form expression for the asymptotic bias of the explained common variance, or the unexplained common variance under assumptions of multivariate normality in minimum rank factor analysis. Findings from existing data sets show that the presented asymptotic statistical inference is based on a recently developed perturbation theory…
Descriptors: Equations (Mathematics), Factor Analysis, Statistical Inference
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Lambert, Zarrel V.; And Others – Educational and Psychological Measurement, 1990
Use of the bootstrap method to approximate the sampling variation of eigenvalues is explicated, and its usefulness is amplified by an illustration in conjunction with two commonly used factor criteria. These criteria are eigenvalues larger than one and the Scree test. (TJH)
Descriptors: Evaluation Criteria, Factor Analysis, Matrices, Sampling
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Levin, Joseph – Multivariate Behavioral Research, 1988
A means of transforming multitrait-multimethod (MTMM) matrices into a classical multiple group factor analysis is outlined. A reanalysis of two numerical illustrations shows that the classical procedure yields results similar to those reached by D. N. Jackson's (1975) two-step procedure for analysis of MTMM matrices. (TJH)
Descriptors: Factor Analysis, Matrices, Multitrait Multimethod Techniques
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Carr, Sonya C. – Measurement and Evaluation in Counseling and Development, 1992
Reviews entities that can be factored, with emphasis on Q-technique analyses. Explains basic rationale for Q-technique factor analysis, offers guidelines regarding use of Q-technique factor analysis, presents studies to illustrate applications of Q-technique factor analysis, and discusses special considerations with regard to Q-technique factor…
Descriptors: Data Analysis, Factor Analysis, Q Methodology
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Smith, B.; Caputi, P.; Rawstorne, P. – Computers in Human Behavior, 2000
Describes a study that defined and provided initial empirical support for differentiating the concepts of computer attitude, subjective computer experience, and objective computer experience. Discusses results of a principal component factor analysis and presents a conceptual analysis of the relation between subjective computer experience and…
Descriptors: Computer Attitudes, Factor Analysis, Prior Learning
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Maraun, Michael D.; Rossi, Natasha T. – Applied Psychological Measurement, 2001
Demonstrated that the extra-factor phenomenon (the two-dimensional solution produced when linear factor analysis is applied to a set of unfoldable items) arises because the metric unidimensional unfolding model is equivalent to the unidimensional quadratic factor model and the unidimensional quadratic factor model is not distinguishable from the…
Descriptors: Factor Analysis, Factor Structure, Mathematical Models
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Dolan, Conor V.; Lubke, Gitta H. – Intelligence, 2001
Considers P. Schonemann's simulation study in light of the multigroup principal component analysis model and interprets it as a study of the specificity of Spearman correlations, given model violations. Asserts that the Spearman correlation is a suboptimal test of Spearman's hypothesis and contends that an explicit model-based approach should be…
Descriptors: Correlation, Factor Analysis, Intelligence, Models
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Moore, Sean E.; Leslie, Heather Young; Lavis, Carrie A. – Social Indicators Research, 2005
This paper describes an initial attempt to assess the subjective well-being of a sample of 227 Tongans via self-report. Using items adapted from the Subjective Well Being Inventory (SUBI; Nagpal and Sell, 1985; Sell and Nagpal, 1992), participants rated their level of overall life satisfaction along with their perceptions of well-being in a number…
Descriptors: Well Being, Factor Analysis, Life Satisfaction
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Squire, Sarah; Davies, Charlotte; Bryant, Peter – British Journal of Educational Psychology, 2004
Background: Understanding arithmetical principles is a key part of a conceptual understanding of mathematics. However, very little attention has been paid to children's understanding of multiplicative, as compared to additive, principles. Aims: This study investigated (a) children's ability to use commutative and distributive cues to solve…
Descriptors: Cues, Mathematics Education, Factor Analysis, Multiplication
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Graham, James M.; Guthrie, Abbie C.; Thompson, Bruce – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Confirmatory factor analysis (CFA) is a statistical procedure frequently used to test the fit of data to measurement models. Published CFA studies typically report factor pattern coefficients. Few reports, however, also present factor structure coefficients, which can be essential for the accurate interpretation of CFA results. The interpretation…
Descriptors: Factor Analysis, Factor Structure, Data Interpretation
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Hayashi, Kentaro; Yuan, Ke-Hai – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Bayesian factor analysis (BFA) assumes the normal distribution of the current sample conditional on the parameters. Practical data in social and behavioral sciences typically have significant skewness and kurtosis. If the normality assumption is not attainable, the posterior analysis will be inaccurate, although the BFA depends less on the current…
Descriptors: Bayesian Statistics, Factor Analysis, Factor Structure
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Schulze, D.; Beauducel, A.; Brocke, B. – Intelligence, 2005
Because figural reasoning tasks are often assumed to indicate fluid intelligence (gf), we investigated which aspect of figural reasoning tasks make that they tend to mark gf-the figural content itself or the high degree of abstraction in these tasks. To this end, the assessment of figural reasoning abilities by means of concrete figural task…
Descriptors: Intelligence Tests, Intelligence, German, Factor Analysis
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Pohlmann, John T. – Journal of Educational Research, 2004
The author reviewed the use and interpretation of factor analysis in articles published in The Journal of Educational Research articles from 1992 to 2002. He found all major forms of factor analysis among the 25 articles that he reviewed. Exploratory factor analysis was the most common application that he found. He noted only 3 applications of…
Descriptors: Factor Analysis, Educational Research, Factor Structure
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Brehm, Joan M.; Eisenhauer, Brian W.; Krannich, Richard S. – Rural Sociology, 2004
This research had two primary objectives: 1) to broaden the sociological construct of community attachment to incorporate both social and natural environment dimensions of attachment, and 2) to examine how variations in attachment relate to two dimensions of well-being in natural amenity-rich rural communities. The specific dimensions of…
Descriptors: Rural Areas, Factor Analysis, Attachment Behavior
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Toll, Benjamin A.; McKee, Sherry A.; Krishnan-Sarin, Suchitra; O'Malley, Stephanie S. – Psychological Assessment, 2004
This study assessed the factor structure of the Questionnaire on Smoking Urges (QSU), a commonly used assessment of cravings for cigarettes, with a sample of smokers presenting for treatment in a smoking cessation trial. On the basis of previous research, three confirmatory factor analytic models were tested. Model 1 hypothesized a 26-item,…
Descriptors: Questionnaires, Smoking, Factor Analysis, Factor Structure
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