Mplus Users Guide v6.. - Muthén & Muthén

CHAPTER 1• Regression analysis• Path analysis• Exploratory factor analysis• Confirmatory factor analysis• Structural equation modeling• Growth modeling• Discrete-time survival analysis• Continuous-time survival analysisObserved outcome variables can be continuous, censored, binary,ordered categorical (ordinal), unordered categorical (nominal), counts,or combinations of these variable types.Special features available with the above models for all observedoutcome variables types are:• Single or multiple group analysis• Missing data under MCAR, MAR, and NMAR and with multipleimputation• Complex survey data features including stratification, clustering,unequal probabilities of selection (sampling weights), subpopulationanalysis, replicate weights, and finite population correction• Latent variable interactions and non-linear factor analysis usingmaximum likelihood• Random slopes• Individually-varying times of observations• Linear and non-linear parameter constraints• Indirect effects including specific paths• Maximum likelihood estimation for all outcomes types• Bootstrap standard errors and confidence intervals• Wald chi-square test of parameter equalities• Plausible values for latent variablesMODELING WITH CATEGORICAL LATENTVARIABLESEllipse B describes models with only categorical latent variables.Following are models in Ellipse B that can be estimated using Mplus:4