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Mplus Complex Survey Data Project

  • Asparouhov, T. & Muthén, B. (2007). Computationally efficient estimation of multilevel high-dimensional latent variable models. Proceedings of the 2007 JSM meeting in Salt Lake City, Utah, Section on Statistics in Epidemiology. Contact the first author. Paper can be downloaded from here.

  • Asparouhov, T. & Muthen, B. (2007). Testing for informative weights and weights trimming in multivariate modeling with survey data. Proceedings of the 2007 JSM meeting in Salt Lake City, Utah, Section on Survey Research Methods. Contact the first author. Paper can be downloaded from here.

  • Asparouhov, T. & Muthen, B. (2006). Comparison of estimation methods for complex survey data analysis. Contact the first author. Paper can be downloaded from here.

  • Asparouhov, T. & Muthen, B. (2006). Multilevel modeling of complex survey data. Proceedings of the Joint Statistical Meeting in Seattle, August 2006. ASA section on Survey Research Methods, 2718-2726. Contact the first author. Paper can be downloaded from here.

  • Asparouhov, T. (2006). General multi-level modeling with sampling weights. Communications in Statistics: Theory and Methods, Volume 35, Number 3, 2006, pp. 439-460(22). An earlier version of this paper appeared as Mplus Web Notes: No. 8 with the title Weighting for unequal probability of selection in multilevel modeling. Refer to Mplus Web Notes: No. 8 for more details. Refer to Mplus Papers for the abstract. Paper can be downloaded from here.

  • Asparouhov, T. (2004). Stratification in multivariate modeling. Mplus Web Notes: No. 9. Refer to Mplus Papers for the abstract. Paper can be downloaded from here. Click here for more details.

  • Asparouhov, T. (2005). Sampling weights in latent variable modeling. Structural Equation Modeling, 12, 411-434. A previous version of this article appeared as Mplus Web Notes: No. 7. Refer to Mplus Papers for the abstract. Paper can be downloaded from here. Click here for more details.

  • Asparouhov, T. and Muthén, B. (2005). Multivariate Statistical Modeling with Survey Data. Proceedings of the Federal Committee on Statistical Methodology (FCSM) Research Conference. Refer to Mplus Papers for the abstract. Paper can be downloaded from here.

Refer to Papers for more recent papers on Complex Survey Data Analysis.