Impact Evaluation Design - Short Course
Institute of Development Studies, Brighton, UK
This 5-day course on Impact Evaluation Design will provide researchers, project managers and practitioners with the necessary methodology and practical knowledge to meet the growing demand for rigorous evaluation of development programmes. The course leader is Dr Edoardo Masset.
The £1500 fee includes the tuition fees, course materials, lunches and refreshments. It does not cover accommodation or travel costs.
We are only able to offer three bursary places, with thanks to the International Initiative for Evaluation (3ie) who are funding two places, and IDS who are funding one. The bursary will cover course fees, visa fees, economy international flights, UK airport transfers, and bed and breakfast accommodation. It does not cover daily expenses. To qualify for a bursary you must be a national of a Low Income Country and be living and working in the country. If you fulfil the criteria and would like to be considered for a bursary, please first complete the application form at the bottom of the page. You will also need to submit additional information, please refer to the bursary guidance and application process.
Please note that demand is very high for the bursary places.
Our course is particularly targeted at researchers, managers, and practitioners of development.
In this course you will learn how to design a rigorous impact evaluation of a development intervention. You will consider questions such as:
- How do we frame the right evaluation questions and choose the right indicators?
- What are the best impact evaluation methodologies?
- How do we go beyond simple impact assessment by assessing spill-over effects, cost-effectiveness and impact on vulnerable groups?
- What are cutting-edge qualitative methods for impact assessment?
Friday 28 November 2014, Midday UK time.
More specifically, the following topics will be covered:
- Theory based evaluation
- Randomised controlled trials and quasi-experimental designs
- Outcome indicators and sampling
- Qualitative methods
The course offers a balanced combination of lectures and practical work. Participants will work in small groups and learn how to build a full evaluation design by applying the technical tools learned in the lectures. The teaching team will also provide individual feedback on the evaluation designs prepared by the groups using a standard of assessment normally adopted by organisations such as the World Bank, DFID and International Initiative for Evaluation (3ie).
Course Level and Entry Requirements
The course will be taught in English and to derive the maximum benefit from the course, participants should be proficient in English and able to follow and take an active part in course discussions. The material is presented at a medium level of technical difficulty. Though a basic knowledge of statistics or economics is desirable, it is not a precondition for learning the material presented. Mathematics and diagrams will be minimally employed at a level comparable to an undergraduate economics course. The material covered however will be conceptually challenging.
This course has been developed by IDS Research Fellow Dr Edoardo Masset who has extensive experience of conducting impact evaluations of development interventions. Edoardo is the Course Leader and will be joined by Professor Robert Chambers, Dee Jupp, and Dr Jean-Pierre Tranchant who will deliver components in their areas of expertise.
The application procedure is in 3 stages:
- Stage 1 Application form: to be completed online and submitted by Friday 28 November 2014.
- Successful applicants will receive the Stage 2 form with the invoice for the course fees. (Places on the course are not guaranteed until fees have been received.)
- On receipt of fees your place on the course will be confirmed. (Where necessary we will provide letters to support visa applications.)
This short course is accredited by the British Accreditation Council.
If you are unable to view the application form below then please use the alternative link:
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