The Logical Framework Approach (LFA) was first designed by USAID (the United States overseas development agency) in the 1960s.
Participatory evaluation has existed for a considerable time and has been one of the most powerful evaluation approaches.
Investment in evaluation is necessary to produce reliable data that can guide choices about programs and policies.
The soul of impact evaluation is to ascertain the treatment effect of a specific intervention.
Results-Based Management/Framework (RBM/F) is a planning, communication, and management tool that helps articulate a project’s goal, objective, result, and output.
Survival analysis is an optimal tool for examining time data to an event type.
Non-response is a form of survey research error that occurs when some participants don’t respond to the survey, thereby changing the representativeness of your sample.
It is essential to invest in assessment to provide robust evidence that can inform policy and programming decisions.
Data sets are weighted to increase their representation of the population they are intended to measure.
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