RECURSOS SOBRE MODELOS MULTINIVEL

F. Javier Murillo

Centros

• Centre for Multilevel Modelling.
  El Centro de Modelos Multinivel tiene como objetivo desarrollar modelos estadísticos para el análisis de datos estructurados jerárquicamente y los programas informáticos adecuados.
• UCLA MLWin Portal.
  Pagina sobre Modelos Multinivel de la universidad de Califrnia, Los Álgeles (UCLA). Contiene una gran cantidad de información y de lisks sobre Modelos Multinivel.

Páginas personales

• Tom Snijders
• Stephen W. Raudenbush
• Joop Hox
• Bengt O. Muthén
• Ita Kreft
• Judith D. Singer
• Williams Browne
• David Draper
• Alastair H. Leyland
• Jon Rabash

Documentos

• Amador, M. y López-González, E. (2007). Una aproximación bibliométrica a los modelos multinivel. RELIEVE, 13(1).
• Barbosa, M.E. y Goldstein, H. (2000). Discrete response multilevel models. Quality and Quantity, 34 (3), pp.323-330.
• Bell, J.F. y Dexter, T. (2000). Using Multilevel Models To Assess The Comparability of Examinations. Paper to be presented at Fifth International Conference on Social Science Methodology, October 3 - 6.
• Boyl, M.H. y Willms, J.D. (2001). Multilevel Modelling of Hierarchical Data in Developmental Studies. Journal Child Psychology and Psychiatry, 42(1), pp. 141-162.
• Browne, W.J. (1995). Applications of Hierarchical Modelling. Tesis de Maestría inédita. Bath: University of Bath.
• Browne, W.J. (2003). MCMC Estimation in MLwiN (Version 2.0) London: Institute of Education University of London.
• Browne, W. J. y Rasbash, J. (2004). Multilevel Modelling. En Bryman, A. y Hardy, M. (Eds.), Handbook of Data Analysis (pp. 459-479). London: Sage Publications.
• Catalán Reyes, M.J. y Galindo Villardón, M.P. (2003). Utilización de los modelos multinivel en investigación sanitaria. Gaceta Sanitaria, 17(.3), p.p. 35-52.
• Ferrão, M.E., Costa Leite, I. da y Beltrão, K.I. (2001). Introdução à modelagem multinível em Avaliação Educacional. Rio de Janeiro: Ministerio do Planejamento, Orçamento e Gestão.
• Goldstein, H., et al. (1993). A multilevel analysis of school examinations results. Oxford Review of Education, 19(4), pp. 425-434.
• Goldstein, H. (1995). Multilevel Statistical Models. London: School of Education.
• Goldstein, H. (1997). Methods in School Effectiveness Eesearch. School Effectiveness and School Improvement, 8, pp. 369-75.
• Goldstein, H. (1998). Multilevel Analysis for social data. Encyclopaedia of Social Research Methods.
• Goldstein, H. (2003). Multilevel modelling of educational data. En D. Courgeau (ed.), Methodology and epistomology of multilevel analysis. London: Kluwer.
• Goldstein, H. y Woodhouse, G. (1996). Effcient estimation with missing data in Miltilevel Analysis. London: Intitute of Education.
• Goldstein, H. y Browne, W. J. (2003). Multilevel factor analysis models for continuous and discrete data. Nottingham Statistics Research report 03-05
• Goldstein, H., Browne, W. J. y Rasbash, J. (2002). Multilevel modelling of medical data. Statistics in Medicine, 21, pp. 3291-3315.
• Harnqvist, K., Gustafsson, J. E., Muthén, B. y Nelson, G. (1994). Hierarchical models of ability at class and individual levels. Intelligence, 18, pp. 165-187
• Hox, J.J. (s.d.) Multilevel multivariate and structural equation models: Some missing links.
• Hox, J.J. (1995). Applied multilevel analysis. Amsterdam: TT-Publikates.
• Hox, J.J. (1998). Multilevel modeling: when and why. En I. Balderjahn, R. Mathar & M. Schader (Eds.), Classification, data analysis, and data highways (pp. 147-154). New York: Springer Verlag.
• Hox, J.J. y de Leeuw, E.D. (2003). Multilevel models for meta-analysis. En S.P. Reise & N. Duan (Eds.),. Multilevel Modeling. Methodological Advances, Issues, and Applications (pp. 90-111). Mahwah, NJ: Lawrence Erlbaum Associates.
• Johnson, C. y Raudenbush, S.W. (in press). A repeated measures, multilevel Rasch model with application to self-reported criminal behavior. En C.S. Bergeman y S.M Boker (eds.), Quantitative Methodology in Aging Research. Proceedings from the Notre Dame Series on Quantitative Methodology: Quantitative Methodology in Aging Research. Erlbaum Press.
• Leyland, A. H. y McLeod, A. (2000). Mortality in England and Wales, 1979-1992. An introduction to Multilevel Modelling using MLwiN. Glasgow: MRC Social and Public Health Sciences Unit.
• Leeuw, J. de, y Kreft, I.G.G. (2001). Software for multilevel analysis. En A. H. Leyland y H. Goldstein (Eds.), Multilevel modelling of health statistics (pp. 187-204). Chichester: Wiley.
• Monette, G. (2001). A First Look at Multilevel Models. York, University of York.
• Murillo, F.J. (1999). Los modelos jerárquicos lineales aplicados a la investigación sobre eficacia escolar. Revista de Investigación Educativa, 17(2), pp. 453-460.
• Muthén, B. (1991). Multilevel factor analysis of class and student achievement components. Journal of Educational Measurement, 28, pp. 338-354.
• Muthén, B. (1996). Latent Variable Modeling of Longitudinal and Multilevel Data. Los Angeles, CA: UCLA.
• Muthén, B. (1997). Latent variable modeling with longitudinal and multilevel data. In A. Raftery (ed.), Sociological Methodology 1997 (pp. 453-480). Boston: Blackwell Publishers.
• Newsom, J.T. y Nishishiba, M. (2002). Nonconvergence and Sample Bias in Hierarchical Linear Modeling of Dyadic Data. Unpublished manuscript, Portland State University.
• Plewis, I. (1998). Multilevel Models. Social Research Update, 23.
  
• Rasbash, J., Browne, W., Goldstein, H., Yang, M. et al. (2000). A user's guide to MLwiN. London: Institute of Education.
• Rasbash, J., Goldstein, H., Browne, W. J., Yang, M. y Woodhouse, G. (2000). The MLwiN command interface (Version 1.3). London: Institute of Education.
• Raudenbush, S.W. (2004). What are value-added models estimating and what does this imply for statistical practice? Journal of Educational and Behavioral Statistics, 29(1), 121-129.
• Raudenbush, S.W., Johnson, C.y Sampson, R. J. (2003). A multivariate, multilevel Rasch model for self-reported criminal behavior. Sociological Methodology, 33(1), pp. 169-211.
• Wiggins, R.D., Beedham, H., Francis, B., Goldstein, H., Hanavy, M., Harman, J., Leyland, A., Musgrave, S., Rasbash, J. y Smith, A.F. (2000) Teaching Resources And Materials for Social Scientists. Documento electrónico.
• Snijders, T. (2005). Power and Sample Size in Multilevel Linear Models. En B.S. Everitt and D.C. Howell (eds.), Encyclopedia of Statistics in Behavioral Science. Volume 3, 1570–1573. Chicester: Wiley.
• Snijders, T. y Berkhof, J. (en prensa). Diagnostic checks for multilevel models. J. de Leeuw & I. Kreft (eds.), Handbook of Quantitative Multilevel Analysis.
• Snijders, Tom A.B. ‘Power and Sample Size in Multilevel Linear Models’.
  In: B.S. Everitt and D.C. Howell (eds.),
  Encyclopedia of Statistics in Behavioral Science. Volume 3, 1570–1573. Chicester
  (etc.): Wiley, 2005.
• Yang, M. et al. (2002), Multivariate multilevel analyses of a examination results. J. Royal Statist. Soc, A, 165, pp. 137-154.
• Zunzunegui, M.V., García de Yébenes, M.J., Forster, M., Aguilar Conesa, M.D., Rodríguez Laso, A. y Otero, A. (2004). Aplicaciones de los Modelos Multinivel al análisis de medidas repetidas en estudios longitudinales. Revista Española de Salud Pública, 78, pp. 177-188.

Software

• Revisiones de los diferentes programa utilizados en Modelos Multinivel
• HLM 6 - Hierarchical Linear and Nonlinear Modeling (HLM)
• MLWin 2.0
• MPlus
• aML Multiprocess Multilevel Modeling

Otros

• Diez Roux, A.V. (2003). Glosario de análisis multinivel I. Boletín Epidemiológico, 24( 3).
• Diez Roux, A.V. (2003). Glosario de análisis multinivel II. Boletín Epidemiológico, 24(4).
• Diez Roux, A.V. (2004). Glosario de análisis multinivel III. Boletín Epidemiológico, 25(1).
• Lista de distribución sobre Modelos Multinivel
• Referencias sobre Modelos Multinivel
• Bibliografía sobre Modelos Multinivel por Stephen Soldz
• Bibliografía sobre Modelos Multinivel por Wolfgang Ludwig-Mayerhofer
• Tramms. Teaching Resources and Materials for Social Scientists
  Materiales para el aprendizaje de Modelos Multinivel.

Página revisada y actualizada el 23 de marzo de 2008