M
plus
Friday
April 25, 2014
Mplus
Mplus at a Glance
General Description
Mplus Programs
Pricing
Version History
System Requirements
Platforms
FAQ
Mplus Demo Version
Training
Short Courses
Short Course Videos
and Handouts
Web Training
Documentation
Mplus User's Guide
Mplus Diagrammer
Technical Appendices
Mplus Web Notes
User's Guide Examples
Analyses/Research
Mplus Examples
Papers
References
Special Mplus Topics
Alignment (MG CFA)
BSEM (Bayesian SEM)
Complex Survey Data
ESEM (Exploratory SEM)
Genetics
IRT
Mediation
Missing Data
Randomized Trials
How-To
Using Mplus via R
Mplus plotting using R
Chi-Square Difference
Test for MLM and MLR
Power Calculation
Monte Carlo Utility
Search
Mplus Website Updates
Mplus FAQs
Bayesian analysis using the PX parameterization
Between and Within covariance matrices
Between-level differences in within-level variances
Between-level residual for each cluster
BIC citations of interest - how big a difference
Binary item measurement invariance testing
BSEM input for groups and timepoints
CFI differences between programs
Correlations for categorical variables
Count regression with different length of exposure uses an offset - also for modeling proportions
Cross-level effect plotted by LOOP
Delta method and Sobel
Different number of variables in different groups
Factor scores
GLM with log link and Poisson regression for continuous variables
GMM analysis strategies
GMM estimated means confidence intervals
Icc changes from one model to another
IRT parameterization using Mplus thresholds
Indirect effect insignificant while both paths significant
K-means clustering versus LCA
Lambda is not compatible with the notion of simplicity of the rotation criterion
Latent variable interactions
Latent variable interaction LOOP plot
Level-2 R-square decreasing when adding level-1 covariate
LTA with Movers-Stayers
LTA with transition probs varying as a function of covariates
Making an observed categorical variable u equivalent to a latent class variable c
MCMC iteration convergence in Mplus
Missing on x's
Missingness fraction
Moderated mediation short
Multiple cohort GMM
Multiple Imputation versus FIML
N vs N-1
Numerical integration range
Reciprocal interaction with categorical and continuous DVs inadmissible using ML
Regressing on a residual
Standardized coefficient greater than 1
Testing of factor corr=1
The variance of a dependent variable as a function of latent variables that have an interaction is discussed in Mooijaart and Satorra
Twolevel regression with singular between covariance matrix
UG ex11.5 imputation clarification
u-star scores