Models consisting of multiple levels are also referred to as linear mixed, hierarchical, or mixed-effect models.
In computer science, artificial intelligence (AI) is the development of intelligent machines that mimic the capabilities of humans.
Difference-in-Difference is one of the most popular quasi-experimental techniques, backed by a large body of historical evidence.
Randomised controlled trial (RCT) is a popular evaluation design.
Regression Discontinuity Design is a quasi-experimental design and another way to deal with selection bias.
Change in government policy is brought about by influencing the opinions of leaders and decision-makers through policy advocacy.
It is often not possible to do a randomized controlled trial or RCT in a real-world setting for impact evaluation.
As the name implies, summative evaluations provide a summative assessment of the programme.
Propensity Score Matching (PSM) has been used since the 1980s to reduce selection bias and produce better causal estimates.