The fourth SERISS training course – Cross-national comparative research: Longitudinal analysis of panel data – will take place at the University of Ljubljana, Slovenia, on 18-19 February 2019.

This course will introduce participants to some of the many topics, data and analysis tools available for cross-national comparative research using panel data.

Participants will gain hands-on experience working with rich panel data: the UK Household Longitudinal Study (UKHLS), the German Socio-economic Panel Study (SOEP) and a cross-nationally harmonised data set of panel studies from around the world (CNEF).

The training session will introduce the many steps involved in undertaking longitudinal analysis, covering the conceptual bases as well as basic data management and modelling techniques.

The training session will be instructed by Dr Gundi Knies and Dr Magda Borkowska from the Institute for Social and Economic Research (ISER) at the University of Essex.

As with all SERISS training courses, up to 25 participants are invited to attend. There are no tuition fees and lunch for each course day and a group dinner on the first evening will be provided.

Participants will only need to cover their travel and accommodation costs, but there are a limited number of SERISS grants available for attendees whose financial position would prevent them from being able to attend.

Participants are expected to have a basic working knowledge of Stata.

Course participants will learn about:

  • Longitudinal studies for cross-national comparative research
  • Basic models for longitudinal analysis: Transition models, fixed effects and random effects models (for continuous outcomes).
  • Topics in cross-national comparative research and what panel data add
  • Different approaches to undertaking cross-country analyses
  • The design and content of some of the world’s most widely used panel data sets
  • How to access the data
  • How to prepare the data files for analysis using Stata
  • How to use weights for producing population estimates
  • How (not) to choose between different panel estimators
  • Additional resources to support their own research projects

How to apply:

Complete the online application form

The deadline for applications is Friday 2 November 2018.