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.

Monitoring, evaluation, and research are critical learning components because they tell implementors about course corrections based on evidence-based decision-making.

Based on the objective of the evaluation, evaluation procedures may be classified as formative or summative.

Meta-analysis, as the name suggests, is the analysis of the way studies are analyzed.

Data is powerful. Data without insight, however, is meaningless.

Data storytelling has gained prominence over the last several years due to the growing importance of data in our lives.

Process evaluation focuses on the implementation process and aims to identify how the project has adhered to the logic model's strategy or prescribed theory of change.

Impact evaluation is the most popular summative evaluation method used to ascertain the project’s impact on achieving the desired outcome.