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Prioritizing among impact questions

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  1. Prioritizing among impact questions Module 3.3

  2. How important will the results be? • Is the program (or similar programs) large or expanding? • If the program works will it be cheap and easy to scale—i.e. high potential impact? • How much existing evidence is there already? • Is the question more general (theory based) or more tied to one context?

  3. Can the question be answered well? • Must have good way to measure outcomes • When evaluating a HIV education program it is critical to get measures that go beyond self reported attitudes and behavior or results may mislead • Need sufficient sample size to be able to pick up a reasonable effect (more on this later) • Study that finds treatment is not statistically different from zero, but cannot rule out a reasonably big impact may be worse than useless • may be misread as proving no effect

  4. Is the program representative? • Representative program design • Testing the impact of a standard program provides a benchmark against which variants can be measured • Representative geography and cultural context • Results more likely to generalize to a similar context, so testing in a context that looks like many others is a plus • Representative partner • If implementation is of unusually high quality we may worry results will not generalize to other partners • But doing impact evaluation of a poorly implemented program is a waste: process evaluation can tell you wont work • Partner must be committed to evaluation or will fail

  5. When being unrepresentative is good • Proof of concept evaluations can be very informative • These test: does this type of program work when implemented very well • If proof of concept evaluation shows positive results, can then try cheaper, more scalable versions of the program • If proof of concept evaluation finds no impact, cheaper or more scalable versions done by less good partners unlikely to work

  6. Is the implementing partner right? • Implementation partner commitment is essential, both at local and headquarter level • Q: Why is implementer commitment so important? How could lack of commitment disrupt an evaluation? • Potential tradeoff between having a partner committed to evaluation and a representative partner • One approach is work with committed partner but make sure program does not use highly specific and hard to replicate skills • Eg does not rely on very committed staff

  7. Cost-effective evaluation • Rigorous impact evaluations vary enormously in cost, important to balance cost and benefits • What makes an evaluation expensive? • Collecting new data vs using administrative data • Randomizing by group (rather than individual) • Rural and remote locations drive up transport costs • When skilled labor is expensive (much of Africa) • Multiyear evaluations • Many treatment arms • Nonsurvey outcomes (like biological tests) • Large expensive evaluations can still be cost-effective by improving the effectiveness of spending

  8. Developing an evaluation strategy • If an organization wants to develop a plan of where to invest its evaluation budget, start with key questions facing the organization • Determine which can be answered from existing evidence and which from process evaluation • Select top priority questions for impact evaluation • Find best context for answering them: where is representative and where are there opportunities to evaluate?

  9. From impact back to process • With key questions answered from impact evaluations, process evaluation can be used to test overall impact • Example of bednets and malaria • Impact evaluation shows hung bed nets reduce malaria • Impact evaluation shows fee bed nets get hung • Needs assessment finds areas where malaria high, bednets low • Process evaluation monitors how many bed nets given out • Possible to impute lives saved from bednets given out