Data structures for longitudinal analysis: wide versus long
Learn how to create, store and reshape longitudinal data. Moving from wide to long data format and back using R.
Explaining change in time using multilevel models and time constant predictors
Learn how to explain change in time using time constant predictors using the multilevel model. Examples with real data and R code
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.
Understanding causal direction using the cross-lagged model
Learn how to investigate the causal direction of two variables using the cross-lagged model and longitudinal data.
Estimating change in time. Comparing the multilevel model for change 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.
Estimating non-linear change with Latent Growth Models in R
Learn how to estimate and visualize nonlinear Latent Growth Models (LGM) using R and real world longitudinal data
Cross-national research using multilevel model in R
Learn how to do cross-national research using multilevel modeling and R. Real world data example with the European Social Survey
Estimating multilevel models for change in R
Learn how to analyze longitudinal data using multilevel model for change with R. Real world data and syntax.
Estimating and visualizing change in time using Latent Growth Models with R
Tutorial showying you how to visualize change in time and how to estimate it using Latent Growth Modeling wirh R.
Visualizing transitions in time using R
Learn how to vizualize tranisitions in time for categorical data using Sankey plot/river/alluvial graphs and R