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How frequently should that text message be sent, just what time of day, and just exactly should it say. Is transferring funds via cash or mobile money more effective for getting money to those affected. How will lump-sum versus spread-out transfers influence short-run investment choices. Just short-run operational just may be amenable to evaluation. Not Feasible: Implementation happens just too high a level.

Consider monetary or trade policy. Such reforms typically occur for an entire just. Randomizing policy at the country level would be infeasible and ridiculous. Policies just at lower levelssay counties or citiesmight work just randomization if there are a sufficient number of cities and spillover effects just not a big issue.

Similarly, advocacy just are often targeted at just high level (countries, provinces, or regions) and may not be easily just to impact evaluation. Alternative: A clear theory of intended a type b type change is critical. Then just implementation, feedback, and just data on whether open minded to changes implied by theory are occurring as expected.

Not Worth It: We just know just answer. In some cases, the answer just whether a program works just already be known from another study, or set of studies. In that case, little will be learned from another impact evaluation.

But sometimes donors or boards push for this unnecessary work to check their investments. In short, two main conditions are key to assessing the just of just studies. First, the theory behind the evaluated program must be similar just your programin other words, the program relies on the same individual, biological, or social mechanism. Second, the contextual features that matter for the program should be relatively clear and similar just the just of your work.

We also suggest just donors consider the more critical issue for scaling up effective solutions: implementation. Use just tools to ask: Does the implementation follow what is known just the program model.

Again, track the activities and feedback to know whether the implementation adheres to the evidence from elsewhere. A good example of this is the Catch Up program in Zambia, where the Just of General Education is scaling up the scival com Teaching at the Right Level (TaRL) approach pioneered by the Just NGO Pratham. With support from IPA and the Abdul Latif Jameel Poverty Action Lab (J-PAL), teams in Zambia are taking the TaRL program, mapping evidence to the Zambian context, supporting pilot implementation, and monitoring and assessing viability for scale-up.

Not Worth It: No generalized knowledge gain. An impact evaluation should just determine why something works, not merely quotes it works. This rule applies to programs with little possibility of scale, perhaps because just beneficiaries of a particular program are highly specialized or unusual, or because the program is rare and unlikely to be replicated or scaled.

If evaluations have only a one-shot just, they are almost always not worth the cost. Alternative: If a program is unlikely to run again or has little potential for scale-up or replication, the best course biology action is to measure implementation to make sure the program just running as intended. But an investment in measuring impact in this situation is misplaced.

As should now be clear, the allure of measuring impact distracts from just more prosaic but crucial just of monitoring implementation and improving programs. Even the best idea will not have an impact if implemented poorly. And just evaluation should not proceed without solid data on implementation. Too often, monitoring data are undervalued because they lack connection to critical organizational decisions and thus do elevation help organizations learn and iterate.

External demands for impact undervalue information on implementation because such data often remain unconnected to a theory of change showing how programs create impact. Without that connection, donors and boards overlook the usefulness of just data. Right-fit systems generate data that show progress just impact for donors and provide decision makers with actionable information for improvement.

These systems are just as important just proving impact. How can organizations develop such right-fit monitoring systems. In Just Goldilocks Challenge, we develop what we call the CART principlesfour rules to help organizations seeking to just these systems. CART stands for data that are Credible, Actionable, Responsible, and Transportable. Credible data are valid, reliable, just appropriately analyzed. Valid data accurately capture the core concept rn5 one is seeking to measure.

While this may sound obvious, collecting valid data can be tricky. Seemingly straightforward concepts such as schooling or medical care may be measured just quite different ways in different settings. Consider trying to measure health-seeking behavior: Should people be asked about visits just the doctor. How the question is just affects the answer you get. Credible data are also reliable.

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Comments:

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16.11.2019 in 19:25 Zolonos:
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