The home of longitudinal data analysis
Data is essential for understanding the world around us. Longitudinal data has a special place in this context, as it can help us understand how individuals, institutions, and societies change over time. Longitudinal data can take various forms, ranging from panel studies in the social sciences to administrative data, social media data, and sensor data.
This website aims to bring together valuable resources regarding the collection, analysis and presentation of longitudinal data. The aim is to adopt an interdisciplinary approach, incorporating the best methods from various fields while addressing practical aspects such as data cleaning, missing data and reproducible research.
Book
Longitudinal Data Analysis Using R
The book covers all the key skills needed for preparing, exploring and analysing longitudinal data. To facilitate understanding and help readers learn these skills, it interweaves statistical modelling with computer code and visualisations. It achieves this by utilizing real-world data, code, and outputs that readers can replicate.
Features of the Longitudinal Data Analysis book
01
Applied introduction to R
Learn how to use R with real-world social science data.
02
Hands-on data cleaning
Learn all the key skills and commands to clean and transform complex longitudinal data.
03
Visualise and describe longitudinal data
Create beautiful graphs and tables to illustrate changes over time.
04
Longitudinal models
Learn the main types of models used to analyse longitudinal data, including fixed effects, multilevel models and latent growth models.
05
Solve real-world challenges
Learn how to deal with missing data and measurement error, how to present results and how to carry out reproducible research.
06
Up to date code
The book is regularly updated to ensure the code remains current and functional.
About the author
Alex is an associate professor at the University of Manchester, with over 10 years of experience in teaching and research, utilising advanced models for longitudinal data analysis.
