Mplus
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October 24, 2014
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Mplus
Mplus at a Glance
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Special Mplus Topics
Alignment (MG CFA)
BSEM (Bayesian SEM)
Complex Survey Data
ESEM (Exploratory SEM)
Genetics
IRT
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Using Mplus via R
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Chi-Square Difference
Test for MLM and MLR
Power Calculation
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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
  • Confidence intervals for estimated means in GMM
  • 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
  • Heckman modeling
  • 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
  • Omega coefficient in Mplus
  • Reciprocal interaction with categorical and continuous DVs inadmissible using ML
  • Regressing on a residual
  • Standardized coefficient greater than 1
  • Standardized coefficient can have different significance than unstandardized
  • 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
  • Two-part estimated means
  • UG ex11.5 imputation clarification
  • u-star scores