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Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel – Multivariate Behavioral Research, 2012
In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the model parameters and demonstrates the consequences…
Descriptors: Bayesian Statistics, Factor Analysis, Models, Simulation
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Varriale, Roberta; Vermunt, Jeroen K. – Multivariate Behavioral Research, 2012
Factor analysis is a statistical method for describing the associations among sets of observed variables in terms of a small number of underlying continuous latent variables. Various authors have proposed multilevel extensions of the factor model for the analysis of data sets with a hierarchical structure. These Multilevel Factor Models (MFMs)…
Descriptors: Factor Analysis, Models, Statistical Analysis, Maximum Likelihood Statistics
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Salgueiro, M. Fatima; Smith, Peter W. F.; McDonald, John W. – Multivariate Behavioral Research, 2010
Connections between graphical Gaussian models and classical single-factor models are obtained by parameterizing the single-factor model as a graphical Gaussian model. Models are represented by independence graphs, and associations between each manifest variable and the latent factor are measured by factor partial correlations. Power calculations…
Descriptors: Models, Graphs, Factor Analysis, Correlation
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Zhang, Guangjian; Preacher, Kristopher J.; Luo, Shanhong – Multivariate Behavioral Research, 2010
This article is concerned with using the bootstrap to assign confidence intervals for rotated factor loadings and factor correlations in ordinary least squares exploratory factor analysis. Coverage performances of "SE"-based intervals, percentile intervals, bias-corrected percentile intervals, bias-corrected accelerated percentile…
Descriptors: Intervals, Sample Size, Factor Analysis, Least Squares Statistics
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Everett, James E.; Entrekin, Leland V. – Multivariate Behavioral Research, 1980
Factors extracted from identical items administered to similar but not identical samples should be comparable to be used as summary measures. Correlation between duplicate factor scores calculated using weights from identical factor analyses of two samples provides a comparability coefficient, a more direct measure than the congruence coefficient.…
Descriptors: Attitude Measures, Correlation, Factor Analysis, Faculty
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Ferrando, Pere J.; Lorenzo-Seva, Urbano – Multivariate Behavioral Research, 2007
This article describes a model for response times that is proposed as a supplement to the usual factor-analytic model for responses to graded or more continuous typical-response items. The use of the proposed model together with the factor model provides additional information about the respondent and can potentially increase the accuracy of the…
Descriptors: Reaction Time, Item Response Theory, Computation, Likert Scales
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Comrey, Andrew L.; And Others – Multivariate Behavioral Research, 1988
Three methods were used to test the factor structure of the Eysenck Personality Inventory administered to 583 Australians. The preferred method was to extract factors by the minimum residual method, use the Tandem Criteria Method, and then rotate that number of factors by the Tandem Criteria I method. (SLD)
Descriptors: Adults, Factor Analysis, Factor Structure, Foreign Countries
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Undheim, 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
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Noller, Patricia; And Others – Multivariate Behavioral Research, 1988
The Comrey Personality Scales were administered to 669 Australian advanced undergraduate students at the University of Queensland in 1984 and 1985. Factor analysis of results and results with other cultural groups indicate that the eight personality factors measured by the scales have considerable stability across cultural boundaries. (TJH)
Descriptors: Cross Cultural Studies, Factor Analysis, Foreign Countries, Higher Education
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Byrne, Barbara M. – Multivariate Behavioral Research, 1988
Exploratory and confirmatory factor analyses were used to investigate the factorial validity across gender of the Self-Description Questionnaire III (SDQ III) subscales measuring general, school, English, and mathematics self-concepts. When administered to 516 male/475 female 11th/12th graders in Ottawa (Canada), the questionnaire demonstrated…
Descriptors: English, Factor Analysis, Foreign Countries, Grade 11