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Small n evaluation: evaluating impact with a small number of cases
Are you interested in learning more about how to effectively evaluate impact with a small number of cases?

Traditional impact evaluations using experimental or quasi-experimental evaluation designs need large numbers of cases in the intervention and control groups. This session explores impact evaluation methods that can be used with small numbers of cases and that don’t involve a control group. Perhaps best known are ‘mechanistic’ approaches such as scientific realism and Process Tracing. Other approaches, such as Qualititative Comparative Analysis (QCA) look for patterns or configurations, while others, such as Contribution Analysis seek to identify the contribution that different interventions make to impact. Whilst these alternatives promise different ways to understand causality, it is important that evaluators are aware of the often subtle but important differences between these ‘alternatives’ and the standard impact evaluations. Many small n approaches address a different set of impact questions and have quite a different perspective on the problem of ‘causality’ when viewed alongside the standard approaches.

Join us for this one hour session with Prof Chris Fox, Professor of Evaluation and Policy Analysis Director, Policy Evaluation & Research Unit, Manchester Metropolitan University and Dr Jessica Ozan, Research Associate, Policy Evaluation & Research University
Manchester Metropolitan University.

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 info@taso-he.org

Apr 22, 2021 10:45 AM in London

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