Special Issue: Mixture Structural Equation Modeling

References

• Arminger, G. , Stein, P. (1997). Finite mixtures of covariance structure models with regressors. Sociological Methods & Research, 26, 148– 182 First citation in articleCrossref, Google Scholar

• Arminger, G. , Stein, P. , Wittenberg, J. et al (1999). Mixtures of conditional mean and covariance structure models. Psychometrika, 64, 475– 494 First citation in articleCrossref, Google Scholar

• Arminger, G. , Wittenberg, J. , Schepers, A. (1996). MECOSA 3 User Guide . Friedrichsdorf: Additive GmbH First citation in articleGoogle Scholar

• Gustafson, J.-E. , Stahl, P. A. (2004). Using M plus with STREAMS 3.0. . Goteborg: Multivariate Ware First citation in articleGoogle Scholar

• Jedidi, K. , Jagpal, H. S. , DeSarbo, W. S. et al (1997a). Finite-mixture structural equation models for response-based segmentation and unobserved heterogeneity. Marketing Science, 16, 39– 59 First citation in articleCrossref, Google Scholar

• Jedidi, K. , Jagpal, H. S. , DeSarbo, W. S. et al (1997b). STEMM: A general finite mixture structural equation model. Journal of Classification, 14, 23– 50 First citation in articleCrossref, Google Scholar

• Jedidi, K. , Ramaswamy, V. , DeSarbo, W. S. , Wedel, M. et al (1996). On estimating finite mixtures of multivariate regression and simultaneous equation models. Structural Equation Modeling, 3, 266– 289 First citation in articleCrossref, Google Scholar

• Jones, B. L. , Nagin, D. S. , Roeder, K. (2001). A SAS procedure based on mixture models for estimating develomental trajectories. Sociological Methods & Research, 29, 374– 393 First citation in articleCrossref, Google Scholar

• Lazarsfeld, P. F. , Henry, N. W. (1968). Latent structure analysis. . Boston: Houghton Mifflin Co First citation in articleGoogle Scholar

• McLachlan, G. J. , Basford, K. E. (1988). Mixture models: Inference and applications to clustering . New York: Marcel Dekker First citation in articleGoogle Scholar

• Muthén, B. (1989). Latent variable modeling in heterogenous populations: Presidential address to the psychometric society, July 1988. Psychometrika, 54, 557– 585 First citation in articleCrossref, Google Scholar

• Muthén, B. (2001a). Latent variable mixture modeling. In G. A. Marcoulides, R. E. Schumacker (Eds.), New developments and techniques in structural equation modeling (pp. 1-33). Mahwah, NJ: Lawrence Erlbaum Associates First citation in articleGoogle Scholar

• Muthén, B. (2001b). Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling. In L. M. Collins, A. Sayer (Eds.), New methods for the analysis of change (pp. 291-322). Washington, DC: American Psychological Association First citation in articleGoogle Scholar

• Muthén, L. , Muthén, B. O. (2004). M plus user’s guide . (3rd ed.). Los Angeles: Muthén & Muthén First citation in articleGoogle Scholar

• Muthén, B. , Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics, 55, 463– 469 First citation in articleCrossref, Google Scholar

• Nagin, D. S. (1999). Analyzing developmental trajectories: A semi-parametric, group-based approach. Psychological Methods, 4, 139– 157 First citation in articleCrossref, Google Scholar

• Nagin, D. S. (2005). Group-based modeling of development. . Cambridge: Harvard University Press First citation in articleCrossref, Google Scholar

• Sörbom, D. (1982). Structural equation models with structured means. In K. G. Jöreskog, H. Wold (Eds.), Systems under indirect observation (pp. 183-195). Amsterdam: North Holland First citation in articleGoogle Scholar

• Titterington, D. M. , Smith, A. F. M. , Makov, U. E. et al (1985). Statistical analysis of finite mixture distributions. . Chichester: Wiley First citation in articleGoogle Scholar

• Wedel, M. , deSarbo, W. S. (1994). A review of recent developments in latent class regression models. In R. P. Bagozzi (Ed.), Advanced methods of marketing research (pp. 352-388). Cambridge: Blackwell First citation in articleGoogle Scholar

• Wedel, M. , deSarbo, W. S. (1995). A mixture likelihood approach for generalized linear models. Journal of Classification, 12, 21– 56 First citation in articleCrossref, Google Scholar

• Yung, Y. F. (1997). Finite mixture in confirmatory factor-analysis models. Psychometrika, 62, 297– 330 First citation in articleCrossref, Google Scholar