Longitudinal Data Analysis

About

This course offers a comprehensive introduction to the analysis of longitudinal data. Different disciplines within the social sciences have developed distinct analytical frameworks to analyse panel data, and this course will provide an overview of some of these strategies

Course leader

Dr Thiago Oliveira

Target group

While PGRs and Early Career Researchers from across all disciplines are likely to be the main audience, the course may also be of interest to senior scholars, practice-based researchers, independent researchers, and scholars who are seeking to refresh and further develop their data analysis skills

Course aim

To:
Acquire understanding of concepts, designs, and methods for longitudinal data analysis
Use R to analyse longitudinal data and address a range of research questions that involve change over time
Critically reflect upon the role of time in social science research
Evaluate and fit models estimating latent trajectories under a multilevel and an SEM frameworks
Understand the potentials and limitations of cross-lagged panel models in handling reverse causality
Engage critically with the challenges and possibilities of leveraging panel data to address causal questions under the potential outcomes framework

Fee info