
Experimental and Quasi-Experimental Impact Evaluation Designs
We are experts in the use of experimental and non-experimental designs for evaluating the impact of interventions. We understand the science of intervention and provide support with designing and evaluating the impact of intervention programmes.
The central theme in impact evaluation is cause-and-effect attribution. We know the common threats to attribution, and so using the programme logic model and setting, we ensure a rigorous design that will enhance research validity. We are experts in creating counterfactual groups at the design and/or analysis stage of evaluation research. Along the same line, we have expertise in:
- Individual and Cluster Randomised Trials
- Pipeline (Step-wedge) Designs
- Regression Discontinuity
- Propensity Score Matching
- Reflexive Comparison Designs
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