Random Intercept Latent Transition Analysis (RI-LTA)

RI-LTA Web Talks

• What Multi-Level Modeling Can Teach Us About Single-Level Modeling & Vice Versa: The Case of Latent Transition Analysis, Bengt Muthén.

  Mplus papers for Random Intercept Latent Transition Analysis (RI-LTA)

• Muthén, B. & Asparouhov, T. (2020). Latent transition analysis with random intercepts (RI-LTA). Under review. Version 3.
  
  
• Muthén, B. & Asparouhov, T. (2020). Latent transition analysis with random intercepts (RI-LTA). 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 single-level modeling: Latent transition analysis with random intercepts (RI-LTA). Version 1.

  Data sets for the RI-LTA paper

• Life satisfaction example
• Mood example
• Reading proficiency example
• Dating and sexual risk behavior example

  Mplus scripts for Version 2 of the RI-LTA 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)
  • T=2, N=500
  • T=2, N=1000
  • T=2, N=2000
  • T=2, N=4000
  • T=3, N=500
  • T=3, N=1000
  • T=3, N=2000
  • T=3, N=4000
• Table 5 runs (Mood data)
  • Model 1, Regular LTA
  • Model 2, RI-LTA, binary RI
  • Model 3, RI-LTA, continuous RI
  • Model 4, Regular LTA, Mover-Stayer
  • Model 5, RI-LTA, binary RI, Mover-Stayer
  • Model 6, RI-LTA, continuous RI, Mover-Stayer
• Table 7 runs (Dating data)
  • Model 1, Regular LTA
  • Model 2, RI-LTA, binary RI
  • Model 3, RI-LTA, continuous RI
  • Model 4, Regular LTA, Mover-Stayer
  • Model 5, RI-LTA, binary RI, Mover-Stayer
  • Model 6, RI-LTA, continuous RI, Mover-Stayer
• Table 8 runs (Dating data)
  • Regular LTA
  • RI-LTA, continuous RI
• Table 9 runs (Dating data)
  • Model 1, Regular LTA, invariance
  • Model 2, Regular LTA, binary RI, non-invariance
  • Model 3, RI-LTA, continuous RI, invariance
  • Model 4, RI-LTA, continuous RI, non-invariance
• Table 10 runs (Dating data)
  • Model 1, regular LTA, main effects
  • Model 2, regular LTA, main effects and gender interaction effects
  • Model 3, RI-LTA, continuous RI
  • Model 4, RI-LTA, continuous RI and main effects
  • Model 5, RI-LTA, continuous RI, main effects, and gender interaction effects

  Mplus scripts for Version 1 of the RI-LTA paper

• Analysis of the hypothetical example using Monte Carlo simulation
  • Step 1
  • Step 2 Ignoring RI
  • Step 2 Using RI
• Analyses of the 4 examples without covariates: Continuous random intercept
  • Life satisfaction example
  • Mood example
  • Reading proficiency example
  • Dating and sexual risk behavior example
• Analyses of examples with covariates: Continuous random intercept, model 4 in Table 13
  • Dating and sexual risk behavior example
• Analyses of the 4 examples without covariates: Binary random intercept
  • Forthcoming
• Analyses of the 4 examples with Mover-Stayer modeling
  • Forthcoming
• Analyses of the 4 examples with groups and covariates
  • Forthcoming
  
  
  
• Mplus Version 8.4 offers significantly faster computations for RI-LTA as well as simplified output compared to 8.3.