In the following sections, we will present a variety of longitudinal data techniques you can apply to longitudinal data and repeated measures. First, we will explore and prepare the dataset before demonstrating how to apply general linear, logistic and multinomial regression approaches which are commonly used in the analysis of longitudinal study data. In future updates to this module, we will also illustrate how to transfer data to a format suitable for repeated measures analysis. We will also be adding guidance on techniques for analysing such repeated measures data, including multilevel regression, fixed effects, and latent growth models.
We will guide you through these methods as performed in the STATA statistical software package, and we will provide documented syntax to explain the steps involved. Guidance for other statistical software packages is forthcoming.
The Learning Hub is a resource for students and educators
tel | +44 (0)20 7331 5102 |
---|---|
closer@ucl.ac.uk |
Sign up for our email newsletters to get the latest from CLOSER
Sign up