Using cluster random assignment to measure program impacts. Statistical implications for the evaluation of education...

Area of Science:

• Social Sciences
• Education Policy
• Program Evaluation

Background:

• Random assignment is the gold standard for unbiased program impact evaluation.
• Individual random assignment is often infeasible for group-level interventions.
• Cluster assignment offers an alternative for evaluating whole-group programs.

Purpose of the Study:

• To explore the statistical implications of cluster assignment for program evaluation.
• To present an analytic framework for studying cluster assignment issues.
• To assess the feasibility of cluster assignment for evaluating education programs in schools.

Main Methods:

• Outlining the issues involved in cluster assignment.
• Developing an analytic framework for cluster assignment analysis.
• Applying the framework to education program evaluation in schools.

Main Results:

• Cluster assignment maintains unbiased impact estimates, similar to individual random assignment.
• Cluster assignment generally has lower statistical power compared to individual random assignment.
• The approach shows promise for education program evaluation when controlling for prior student performance.

Conclusions:

• Cluster assignment is a viable strategy for estimating program impacts on groups.
• Statistical power can be enhanced by controlling for historical performance data.
• This method is particularly relevant for evaluating school-based educational interventions.