Mplus Base Program
What's New In Version 3
SEM
New features for categorical outcomes

Regression, path analysis, factor analysis, SEM, growth modeling using MLEM
MLEM using numerical integration
ML missing data under MAR
WLMSV missing data under covariateMAR
WLSMV chisquare difference testing
WLSMV modification indices

New types of outcomes

Counts  Poisson and zeroinflated Poisson modeling
Censored  Censorednormal and censoredinflated normal
Regression, path analysis, factor analysis, SEM, growth modeling using MLEM
MLEM using numerical integration
ML missing data under MAR

Random Slopes

Categorical outcomes
Slopes for exogenous observed variables
Slopes for endogenous observed variables
Slopes for continuous latent variables

Interactions between continuous latent variables and between continuous latent variables and observed variables using ML

Continuous factor indicators
Categorical factor indicators

Nonlinear factor analysis
Indirect effects
Bootstrap standard errors and confidence intervals
Nonlinear constraints
Growth Modeling
New language
Categorical outcomes using MLEM via numerical integration
Twopart growth modeling
Interaction modeling, for example, between initial status and a timeinvariant covariate
Automatic starting values for growth factor means and variances for continuous outcomes
