Fitting Longitudinal Models Using Mplus -- Benefits of Using Multilevel Modeling for Longitudinal Analysis -- Summary -- 7: Brief Introduction to Generalized Linear Models -- Logistic Regression Model for a Dichotomous Outcome Variable -- Logistic Regression Model for an Ordinal Outcome Variable -- Multinomial Logistic Regression -- Models for Count Data -- Poisson Regression -- Models for Overdispersed Count Data -- Introduction to Fitting Survival Models in Mplus -- Survival and Hazard Functions, and the Cox Model -- Fitting the Cox Model Using Mplus -- Summary -- 8: Multilevel Generalized Linear Models (MGLMs) and Multilevel Survival Models -- Multilevel Generalized Linear Models (MGLMs) for a Dichotomous Outcome Variable -- Random Intercept Logistic Regression -- Random Coefficient Logistic Regression -- Inclusion of Additional Level 1 and Level 2 Effects to the Multilevel Logistic Regression Model -- MGLM for an Ordinal Outcome Variable -- Random Intercept Ordinal Logistic Regression -- Random Intercept Ordinal Logistic Regression with Predictors at Levels 1 and 2 -- MGLM for Count Data -- Random Intercept Poisson Regression -- Random Coefficient Poisson Regression -- Inclusion of Additional Level 2 Effects to the Multilevel Poisson Regression Model -- Negative Binomial Models for Multilevel Data -- Inclusion of Additional Level 2 Effects to the Multilevel Negative Binomial Regression Model -- Survival Analysis with Multilevel Data -- Summary -- 9: Brief Review of Latent Variable Modeling in Mplus -- Factor Analysis -- Exploratory Factor Analysis -- Factor Extraction -- Factor Rotation -- Determining the Number of Factors to Retain -- Exploratory Factor Analysis by Using Mplus -- Confirmatory Factor Analysis -- Fitting CFA Models and Assessing Goodness of Fit -- Confirmatory Factor Analysis by Using Mplus -- Structural Equation Models