Longitudinal data are important for several research areas because they allow simultaneous analysis of individual- and group-level changes and improve our understanding of cause-and-effect relationships. The “Introduction to Longitudinal Data Analysis” course offered by the University of Manchester will include three basic frameworks for analyzing longitudinal data: multilevel modeling, structural equation modeling, and event history analysis. The course will be delivered through a combination of lectures and practical exercises with real-world data. During the course, there will also be an opportunity to discuss how you can use these models in your own research.
The course will be held in five sessions between 9:00 and 16:00 UK time (10:00-17:00 CET) with a lunch break between 12:00 and 13:00 (13:00-14:00 CET). The individual sections will cover the following topics:
- 27. 1. 2023 – Data cleaning and visualization of longitudinal data
- 3. 2. 2023 – Cross-lagged models (including an introduction to structural equation modelling and auto-regressive models)
- 10. 2. 2023 – Multilevel model of change (covering also an introduction to multilevel modelling)
- 17. 2. 2023 – Latent growth modelling
- 24. 2. 2023 – Survival models (also known as event history analysis)
Prerequisites for participation in the course are a good knowledge of regression modelling and basic knowledge of the R statistical program or programming experience with other statistical tools.
- Wickham, H., & Grolemund, G. (2016). R for data science: Import, tidy, transform, visualize, and model data (First edition). O’Reilly. (na voljo tudi brezplačno na spletu)
- Singer, J., & Willett, J. (2003). Applied longitudinal data analysis: modeling change and event occurrence. Oxford University Press.
- Newsom, J. T. (2015). Longitudinal Structural Equation Modeling: A Comprehensive Introduction. Routledge.
The price of the course is:
- £30 per day for students,
- £60 per day for staff from research organisations, research funding agencies, non-governmental (non-profit) organisations and the public sector,
- £100 per day for all other participants.
Other details regarding funding are available on the course website. Course applications can be made through the University of Southampton online store.