RILTA Web Talks
 What MultiLevel Modeling Can Teach Us About SingleLevel Modeling & Vice Versa: The Case of Latent Transition Analysis, Bengt Muthén.
Mplus papers for Random Intercept Latent Transition Analysis (RILTA)
 Muthén, B. & Asparouhov, T. (2020). Latent transition analysis with random intercepts (RILTA). Under review. Version 3.
 Muthén, B. & Asparouhov, T. (2020). Latent transition analysis with random intercepts (RILTA). This is Version 2 of the 2019 paper below with a similar title. The 2019 Version 1 paper is posted because it contains different material in some parts.
 Muthén, B. & Asparouhov, T. (2019). What multilevel modeling can teach us about singlelevel modeling: Latent transition analysis with random intercepts (RILTA). Version 1.
Data sets for the RILTA paper
 Life satisfaction example
 Mood example
 Reading proficiency example
 Dating and sexual risk behavior example
Mplus scripts for Version 2 of the RILTA paper
 Table 3 runs (Monte Carlo simulations)
 Regular LTA analysis on data generated by regular LTA, T=2, N=500
 Regular LTA analysis on data generated by regular LTA, T=3, N=500
 Regular LTA analysis on data generated by RI LTA, T=2, N=500
 Regular LTA analysis on data generated by RI LTA, T=2, N=500, Step 2
 Regular LTA analysis on data generated by RI LTA, T=3, N=500
 Regular LTA analysis on data generated by RI LTA, T=3, N=500, Step 2
 Table 4 runs (Monte Carlo simulations)
 Table 5 runs (Mood data)
 Model 1, Regular LTA
 Model 2, RILTA, binary RI
 Model 3, RILTA, continuous RI
 Model 4, Regular LTA, MoverStayer
 Model 5, RILTA, binary RI, MoverStayer
 Model 6, RILTA, continuous RI, MoverStayer
 Table 7 runs (Dating data)
 Model 1, Regular LTA
 Model 2, RILTA, binary RI
 Model 3, RILTA, continuous RI
 Model 4, Regular LTA, MoverStayer
 Model 5, RILTA, binary RI, MoverStayer
 Model 6, RILTA, continuous RI, MoverStayer
 Table 8 runs (Dating data)
 Table 9 runs (Dating data)
 Model 1, Regular LTA, invariance
 Model 2, Regular LTA, binary RI, noninvariance
 Model 3, RILTA, continuous RI, invariance
 Model 4, RILTA, continuous RI, noninvariance
 Table 10 runs (Dating data)
 Model 1, regular LTA, main effects
 Model 2, regular LTA, main effects and gender interaction effects
 Model 3, RILTA, continuous RI
 Model 4, RILTA, continuous RI and main effects
 Model 5, RILTA, continuous RI, main effects, and gender interaction effects
Mplus scripts for Version 1 of the RILTA paper
 Analysis of the hypothetical example using Monte Carlo simulation
 Analyses of the 4 examples without covariates: Continuous random intercept
 Analyses of examples with covariates: Continuous random intercept, model 4 in Table 13
 Analyses of the 4 examples without covariates: Binary random intercept
 Analyses of the 4 examples with MoverStayer modeling
 Analyses of the 4 examples with groups and covariates
 Mplus Version 8.4 offers significantly faster computations for RILTA as well as simplified output compared to 8.3.
