In the search for causal evidence, experimental designs are often prioritised over other evaluation approaches. However, while essential for experimental designs, the process of random allocation to an intervention or control group, is not always suitable for how higher education access and participation interventions are delivered. Quasi-experimental approaches allow for causal evidence to be generated in the absence of random allocation, making use of natural variation in provision, long-term trends, and rich data to create relevant comparison groups. In this session we introduce the logic of several quasi-experimental approaches and explore with the use of examples how they can be deployed at small or large scale.
Are you interested in learning more about quasi-experiments?
Join us for this session with Dr Sonia Ilie, University Lecturer, Faculty of Education & Hughes Hall, University of Cambridge and Director of Studies (Education), Fitzwilliam College & Jesus College.
You will also hear from TASO about the use of quasi-experiments in our research.
Please note that you will need to register for each session that you want to attend, as some sessions are running concurrently. Don't forget to register for other sessions.
Questions? Please email email@example.com