Technical Appendices Related to New Features in Version 7

• General random effect latent variable modeling: Random subjects, items, contexts, and parameters.
• Comparison of computational methods for high-dimensional item factor analysis.
• Saddle points.

Technical Appendices Related to New Features in Version 6

• Bayesian analysis
  • Multiple imputation with Mplus
  • Bayesian analysis of latent variable models using Mplus
  • Bayesian analysis using Mplus: Technical implementation
  • Plausible values for latent variables using Mplus
• Simple second order chi-square correction
• Resampling methods in Mplus for complex survey data
• Pearson and log-likelihood chi-square test of fit for latent class analysis estimated with complex samples

Technical Appendices

Click here for the technical appendices covering theory behind Mplus through Version 2. Following are links to technical information for Mplus Version 3, Version 4, and Version 5.

• Weighted Least Squares for Categorical Variables
• Chi-Square Difference Testing
• Complex Survey Data Analysis
• Scaling of Sampling Weights for Two-Level Models
• Continuous-Time Survival Analysis
• DIFFTEST
• IRT
• Random Starts
• Standardized Coefficients and Their Standard Errors
• Standardized and Normalized Residuals
• Mixture Exploratory Factor Analysis
• Equality Test of Means Across Latent Classes Using Wald Chi-Square Based on Draws From Posterior Probabilities
• Two-Level Weighted Least Squares Estimation. Proceedings of the Joint Statistical Meeting, August 2007, Biometrics Section
• Exploratory Structural Equation Modeling
• Auxiliary Variables Predicting Missing Data
• Chi-Square Statistics with Multiple Imputation
• Weighted Least Squares Estimation with Missing Data
• C on C and X