Models consisting of multiple levels are also referred to as linear mixed, hierarchical, or mixed-effect models.
View moreIn computer science, artificial intelligence (AI) is the development of intelligent machines that mimic the capabilities of humans.
View moreDifference-in-Difference is one of the most popular quasi-experimental techniques, backed by a large body of historical evidence.
View moreRandomised controlled trial (RCT) is a popular evaluation design.
View moreRegression Discontinuity Design is a quasi-experimental design and another way to deal with selection bias.
View moreIt is often not possible to do a randomized controlled trial or RCT in a real-world setting for impact evaluation.
View moreAs the name implies, summative evaluations provide a summative assessment of the programme.
View morePropensity Score Matching (PSM) has been used since the 1980s to reduce selection bias and produce better causal estimates.
View moreMonitoring, evaluation, and research are critical learning components because they tell implementors about course corrections based on evidence-based decision-making.
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