Tag: multilevel modeling
Understanding time-varying predictors in multilevel models for longitudinal data
This post explains how to include time-varying predictors in multilevel models for analyzing dynamic processes over time. By incorporating variables that change over time, such as income or educational support, researchers can gain a nuanced understanding of factors influencing outcomes like mental health. Read more
Estimating and visualizing multilevel models for change in R
Learn how to analyse longitudinal data using the multilevel model for change with R. Hands on example using real world data and syntax. Read more
Comparing the multilevel model with the Latent Growth Model
Learn how the multilevel model for change and the latent growth models are different and when to use each one. Hands on example using real data and R Read more
Estimating non-linear change in time using the multilevel model for change
Learn how to model non-linear change in time using the multilevel model for change in R. Hands on tutorial with real data. Read more