Short Course: Secondary Data Analysis with Longitudinal Population Studies
Date:
05/05/2025 - 04/06/2025
Organised by:
CLOSER (University College London)
Presenter:
Dr Neil Kaye (CLOSER Head of Education and Training) and Dr Charlotte Campbell (CLOSER Research Fellow)
Level:
Entry (no or almost no prior knowledge)
Contact:
CLOSER Administrative and Events Assistant, Becky England (becky.england@UCL.ac.uk)

Venue: Online
Description:
Are you a student or early career researcher considering using longitudinal population study data for the first time in your research?
CLOSER's upcoming short course, Secondary Data Analysis with Longitudinal Population Studies offers participants a comprehensive introduction to understanding, accessing and utilising secondary data from longitudinal population studies for research purposes.
Led by Dr Neil Kaye (CLOSER Head of Education and Training) and Dr Charlotte Campbell (CLOSER Research Fellow), the course will cover an introduction to LPS survey research methods, discovering and understanding LPS data, data management essentials, working with real-world secondary data, and techniques for analysing LPS data.
The course will be delivered across five 2-hour webinars taking place at 13:00-15:00 BST on the following dates: 7, 14, 21, 28 May and 4 June 2025.
No previous experience with statistical analysis of longitudinal data is necessary, though prior knowledge of quantitative methods and/or use of Stata would be expected.
Registering and accessing the course
Course materials and webinar joining information will be made available via our UCL Moodle page.
UCL participants: please register via the UCL Moodle page with your UCL credentials.
Non-UCL participants: please register via our Eventbrite page [LINK] to gain guest-access to the Moodle page.
Contact
If you have any questions or require further information, please contact CLOSER Administrative and Events Assistant, Becky England.
Cost:
Free
Website and registration:
Region:
International
Keywords:
Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis
Related publications and presentations from our eprints archive:
Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis