From Data to Causes I: Building a General Cross-Lagged Panel Model (GCLM)
54:42
Which Longitudinal Model Should I Choose?
59:44
From Data to Causes: Perspectives on Causation from Psychology, Physics, and Dynamical Systems
1:06:00
Using Cross-Lagged Panel Models for Mechanisms of ChangeResearch: An Introduction
1:23:14
Mplus Workshop (Day 1/5, Session 4/4): Model Fit
36:42
From Data to Causes: Building a General Cross-Lagged Panel Model (causality talk 3)
2:01:00
Using Mplus To Do Cross-Lagged Modeling of Panel Data, Part 1: Continuous Variables
2:27:59
Cross lagged panel models (CLPM), random intercept CLPM, Random Intercept Cross Lagged APIM
1:15:58