Longitudinal data offer considerable statistical and analytical advantages to the social science researcher, including the ability to examine micro-level change (and stability), determine temporal ordering of events, and improved control for residual heterogeneity.
This repository houses the materials underpinning a one-day course on Longitudinal Data Analysis for Social Scientists run by Dr Diarmuid McDonnell, UK Data Service. The course was first run on 2020-09-10.
The course programme can be viewed here.
The main content of the course can be viewed as an online book: https://diarmuidm.github.io/longitudinal-data-analysis-book
The training materials can be found in the following folders:
- notebooks - Jupyter Notebooks containing software code, narrative and analytical outputs.
- syntax - Stata and R syntax files for estimating and comparing panel data models.
- outlines - view the course outline and programme.
- reading-list - explore further resources including articles, books, online resources and more.
- data - sample data sets drawn upon in the notebooks.
We are grateful to the Bristol Doctoral College for supporting this training through its PGR Development Fund.
Please do not hesitate to get in contact if you have queries, criticisms and ideas regarding these materials: Dr Diarmuid McDonnell