Mplus
Tuesday
March 19, 2024
HOME ORDER CONTACT US CUSTOMER LOGIN MPLUS DISCUSSION
Mplus
Mplus at a Glance
General Description
Mplus Programs
Pricing
Version History
System Requirements
Platforms
Mplus Demo Version
Training
Mplus Web Talks
Short Courses
Short Course Videos
and Handouts
Web Training
Mplus YouTube Channel
Documentation
Mplus User's Guide
Mplus Diagrammer
Technical Appendices
Mplus Web Notes
FAQ
User's Guide Examples
Mplus Book
Mplus Book Examples
Mplus Book Errata
Analyses/Research
Mplus Examples
Papers
References
Special Mplus Topics
Bayesian SEM (BSEM)
Complex Survey Data
DSEM – MultiLevel Time Series Analysis
Exploratory SEM (ESEM)
Genetics
IRT
Measurement Invariance
and Alignment
Mediation Analysis
Missing Data
Mixture Modeling
Multilevel Modeling
Randomized Trials
RI-CLPM
RI-LTA
Structural Equation Modeling
Survival Analysis
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 Privacy Policy
VPAT/508 Compliance

Mplus Web Talk No. 2 - Using Mplus to do Latent Transition Analysis and Random Intercept Latent Transition Analysis. March 2021.

  The web talk pdf has 116 slides. The web talk can be watched in its 5-hour full-length format   below, as well as in 23 separate segments.

    Introduction

    An example

    Basic building blocks

    • Segment 3: Logistic regression with binary and nominal DV, slides 10-16

    • Segment 4: ORs for a distal outcome in LCA, slides 17-20

    • Segment 5: Regressing latent class variables on each other, transition probabilities, odds, odds ratios, slides 21-27

    Analysis without covariates

    • Segment 6: Regular LTA. Mplus Outputs 1 and 2, slides 28-29

    • Segment 7: RI-LTA, slides 30-38

    • Segment 8: RI-LTA outputs 3 and 4, slide 38

    • Segment 9: Comparing results. Deciding on the number of classes, slides 39-45

    • Segment 10: Checking model fit and model modifications. Checking response pattern fit and bivariate fit. Measurement invariance across time, slides 46-52

    • Segment 11: Checking model fit and model modifications. Residual associations across time. Lag-2 modeling, slides 53-56

    Adding covariates

    • Segment 12: Covariate effects on transition probabilities, slides 57-67

    • Segment 13: Covariate effects on transition probabilities. Regular LTA outputs 5, 6, and 7. Summary of results, slides 67-69

    • Segment 14: Covariate effects on transition probabilities. RI-LTA. Mplus outputs 8 and 9, slide 70

    • Segment 15: Covariate effects on transition probabilities. Comparing results with regular LTA, slides 71-75

    Measurement invariance across individuals

    • Segment 16: Multiple-group analysis and direct effects of covariates on indicators. Mplus outputs 11-13, slides 76-79

    • Segment 17: Multiple-group analysis and direct effects of covariates on indicators. Measurement non-invariance results, slides 80-86

    Special topics

    • Segment 18: Modeling stationarity of transition probabilities. Mover-Stayer modeling, slides 87-89

    • Segment 19: Distal outcome, slides 90-99

    • Segment 20: Distal outcome. Outputs 14-16, slides 99-100

    Error messages

    Final comments

Supplemental Materials

To make suggestions regarding future webtalks, please email: webtalks@statmodel.com

(Note: Please send Mplus support questions to support@statmodel.com along with your license number)