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The Nonprofit Incubator

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Design of Evaluations and Sample Interventions<br />

When developing new interventions or programs, it is important for program<br />

implementers to utilize existing research to determine “how people make financial<br />

decisions, adopt new technology, use social networks to help survive crises, respond to<br />

incentives, decide how much education to acquire, etc.” This application of academic<br />

theory is needed to develop sample interventions. Evans et al. note that “Better<br />

understanding of the barriers (at the<br />

person, family and provider level) is<br />

essential before strategies can be<br />

devised, and these strategies need to be<br />

evaluated carefully. Only then can we<br />

know if we are doing more good than<br />

harm and spending limited resources<br />

wisely.” Abdul Latif Jameel Poverty Action<br />

Lab in Boston integrates social and<br />

behavioral sciences and public health<br />

research, which were previously primarily<br />

confined to academia, into policy design.<br />

This type of important research allows<br />

program designers and implementers to<br />

determine the expected efficiency,<br />

effectiveness, and potential impact of a<br />

new program idea prior to implementation.<br />

After a program has been implemented, it<br />

is crucial to implement ongoing<br />

assessments and evaluations.<br />

Randomized evaluations, which are used<br />

extensively by the Abdul Latif Jameel<br />

Poverty Action Lab (J-PAL), are a type of<br />

impact evaluation. A randomized evaluation may also be known as randomized<br />

controlled trials, social experiments, random assignment studies, randomized field trials,<br />

and randomized controlled experiments. J-PAL emphasizes that randomized study<br />

designs provide the most accurate, unbiased, and reliable statistics out of all other<br />

impact evaluation options. In order to determine a program’s impact, it is essential to<br />

have a randomly-selected control group of participants who are statistically identical to<br />

the experimental group. Both of the groups are considered microcosms of the larger<br />

population and therefore equal in representation to each other. When applying this<br />

design, any changes between the control and experimental group can be attributed<br />

almost solely to the effects of the program. For more information on randomization and<br />

reliable data, see Validity of Research and Quality Health Data.<br />

<strong>The</strong> Purpose of Evaluation<br />

Abdul Latif Jameel Poverty Action Lab discusses the goals of evaluation: "If thoughtfully<br />

designed and implemented, it [randomized evaluation] can answer the questions, how<br />

Page 39 of 89

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