The central role of noise in evaluating interventions that use test scores to rank schools
- The central role of noise in evaluating interventions that use test scores to rank schools
- Chay, Kenneth
McEwan, Patrick J.
Urquiola, Miguel S.
- Persistent URL:
- Department of Economics Discussion Papers
- Part Number:
- November 2003
- Department of Economics, Columbia University
- Publisher Location:
- New York
- Several countries have implemented programs that use test scores to rank schools, and to reward or penalize them based on their students' average performance. Recently, Kane and Staiger (2002) have warned that imprecision in the measurement of school-level test scores could impede these efforts. There is little evidence, however, on how seriously noise hinders the evaluation of the impact of these interventions. We examine these issues in the context of Chile's P-900 program-a country-wide intervention in which resources were allocated based on cutoffs in schools' mean test scores. We show that transitory noise in average scores and mean reversion lead conventional estimation approaches to greatly overstate the impacts of such programs. We then show how a regression discontinuity design that utilizes the discrete nature of the selection rule can be used to control for reversion biases. While the RD analysis provides convincing evidence that the P-900 program had significant effects on test score gains, these effects are much smaller than is widely believed.
- Educational tests and measurements
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- Suggested Citation:
- Kenneth Chay, Patrick J. McEwan, Miguel S. Urquiola, 2003, The central role of noise in evaluating interventions that use test scores to rank schools, Columbia University Academic Commons, https://doi.org/10.7916/D8CJ8RP2.