Random Intercept Item Factor Analysis
Abstract(WP 02/03 Clave pdf) The common factor model assumes a linear relation between the observed variables and a set of underlying latent traits. It also assumes that the linear coefficients, intercepts and slopes (factor loadings), linking the observed variables to the latent traits are fixed coefficients (i.e., common for all subjects). We partially relax the fixed coefficients assumption by letting the intercepts in the factor model change across subjects while keeping the factor loadings fixed.
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Bibliographic InfoPaper provided by Instituto de Empresa, Area of Economic Environment in its series Working Papers Economia with number wp03-02.
Length: 16 pages
Date of creation: Apr 2003
Date of revision:
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Difficulty factors; Life Orientation Test; LISREL; Random effects; Structural equation modeling;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Albert Satorra & Peter M. Bentler, 1999.
"A scaled difference chi-square test statistic for moment structure analysis,"
Economics Working Papers
412, Department of Economics and Business, Universitat Pompeu Fabra.
- Albert Satorra & Peter Bentler, 2001. "A scaled difference chi-square test statistic for moment structure analysis," Psychometrika, Springer, vol. 66(4), pages 507-514, December.
- Gerhard Arminger & Ronald Schoenberg, 1989. "Pseudo maximum likelihood estimation and a test for misspecification in mean and covariance structure models," Psychometrika, Springer, vol. 54(3), pages 409-425, September.
- Li Cai, 2010. "A Two-Tier Full-Information Item Factor Analysis Model with Applications," Psychometrika, Springer, vol. 75(4), pages 581-612, December.
- Alberto Maydeu, 2008. "Modeling Preference Data," Working Papers Economia wp08-30, Instituto de Empresa, Area of Economic Environment.
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