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Related Experiment Videos

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

H S Bloom1, J M Bos, S W Lee

  • 1Manpower Demonstration Research Corporation, USA. howard_bloom@mdrc.org

Evaluation Review
|November 11, 1999
PubMed
Summary
This summary is machine-generated.

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Randomly assigning groups to programs provides unbiased impact estimates. Cluster assignment, though less powerful than individual assignment, shows promise for evaluating education programs in schools.

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.

Related Experiment Videos

  • 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.