What is it about?

This paper evaluates the ability of a teacher screening tool to select the highest quality teachers as measured by contribution to student test scores. The observation of teachers hired by non-screening districts, and an instrument related to incorrect calculation of test scores, are used to adjust for selection into sample.

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Why is it important?

Varying quality between teachers highlights the importance of selecting high-quality teachers. However, common selection metrics routinely fail to do so. This paper highlights an improvement on the teacher selection process.

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This page is a summary of: Screen Twice, Cut Once: Assessing the Predictive Validity of Applicant Selection Tools, Education Finance and Policy, April 2017, The MIT Press,
DOI: 10.1162/edfp_a_00200.
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