Training and Events
Beyond Surveys and Experiments - Other Approaches to Impact Evaluation
|School of International Development, University of East Anglia|
Prof Laura Camfield and Dr Barbara Befani
21/05/2018 - 25/05/2018
School of International Development, University of East Anglia, Norwich Research Park
View in Google Maps (NR4 7TJ)
Vanessa Tarling, firstname.lastname@example.org, Tel: 01603 59337
The course is introductory and primarily designed for people who have limited knowledge of evaluation and are beginning to use 'small n' approaches in their work rather than experienced practitioners.
The course will familiarise participants with ‘small n’, qualitative and mixed methods approaches and look at what they need to use them successfully, responding to a recognition that experimental and quasi experimental approaches to evaluation are not always feasible or desirable. This opens a space for alternative, appropriate or ‘small n’ methods and the course explores how to do these rigorously in resource-constrained contexts.
Participants will leave the course able to:
– Understand the current challenges the impact evaluation community is grappling with by learning about ‘small n’ evaluation approaches.
– Understand different approaches to developing a non-experimental evaluation framework that will enable causal inferences to be drawn.
– Understand the value of a theory based approach in establishing and understanding causation.
– Understand the key characteristics of methods such as Process Tracing with Bayesian updating and Qualitative Comparative Analysis (QCA), and how they might work for different evaluation questions and contexts.
– Understand what they need to know to select the most appropriate approaches for their evaluation questions in their specific evaluation context.
– Recognise the challenges as well as the benefits of using ‘small n’ approaches, drawing on qualitative and quantitative data.
Intermediate (some prior knowledge)
Website and registration
East of England
Qualitative Data Handling and Data Analysis
Related publications and presentations