Longitudinal analysis

Learn how to collect, analyze, and present results from longitudinal data

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Using dynamic documents to present results in R
How to create reproducible workflows for longitudinal data analysis
How to include control variables in a cross-lagged panel model
Mixture Latent Growth Models R: A Step-by-Step Guide
How to estimate and interpret parallel Latent Growth Models (LGM) in R: a step-by-step guide
How to include time-varying predictors in Latent Growth Models (LGM) in R
Including time constant controls in Latent Growth Models
Understanding time-varying predictors in multilevel models for longitudinal data
Understanding the longitudinal data workflow: a comprehensive guide
Complete guide to visualizing longitudinal data in R
Exploring longitudinal data in R: tables and summaries
Cleaning longitudinal data in R: a step-by-step guide
Preparing longitudinal data for analysis in R: a step-by-step guide
Estimating and visualizing multilevel models for change in R
Estimating non-linear change with Latent Growth Models in R
Comparing the multilevel model with the Latent Growth Model
Understanding causal direction using the cross-lagged model
Estimating non-linear change in time using the multilevel model for change
Explaining change using multilevel and time constant predictors
Visualizing transitions in time using R and alluvial graphs
Estimating and visualizing Latent Growth Models with R
Data structures for longitudinal analysis: wide versus long
Interview for Frontmatter podcast discussing survey research and longitudinal data analysis

Longitudinal data analysis

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