Addressing attribution of cause and effect in small n impact evaluations

Increased demand for results has resulted in a growth in large n impact evaluations involving tests of statistical significance between outcomes for treatment and comparison groups. However, this type of statistical analysis is not suitable for all evaluations. When there are insufficient units of assignment to conduct tests of statistical