Blog
Expert insights on impact evaluation and rigorous research methods
Power Analysis Explained: Why Sample Size Matters
Understanding statistical power is crucial for rigorous impact evaluation. Learn how to
conduct proper power analysis, avoid common mistakes, and determine the right sample size
for your RCT.
RCTs 101: The Gold Standard for Impact Evaluation
Why randomization is the most powerful tool for measuring impact. Learn the fundamentals of
RCT design, key components, and how to implement randomization with integrity.
5 Common RCT Design Mistakes
And actionable strategies to avoid them in your evaluation. From insufficient statistical
power to poor randomization implementation—learn from real-world examples.
Quasi-Experimental Designs
Rigorous impact evaluation when RCTs aren’t possible. Explore RDD, DID, PSM, and IV
methods—and learn when to use each approach for credible causal evidence.