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The Content, Predictive Power, and Potential Bias in Five Widely Used Teacher Observation Instruments

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Listed:
  • Brian Gill
  • Megan Shoji
  • Thomas Coen
  • Kate Place

Abstract

This study seeks to inform decisions about the selection and use of teacher observation instruments using data from the Measures of Effective Teaching project.

Suggested Citation

  • Brian Gill & Megan Shoji & Thomas Coen & Kate Place, "undated". "The Content, Predictive Power, and Potential Bias in Five Widely Used Teacher Observation Instruments," Mathematica Policy Research Reports 0bbb1b46aa1c4c63b77dc9194, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:0bbb1b46aa1c4c63b77dc9194c514e92
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/education/2016/rel-teacher-observation.pdf
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    References listed on IDEAS

    as
    1. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    2. Seth Gershenson & Stephen B. Holt & Nicholas Papageorge, 2015. "Who Believes in Me? The Effect of Student-Teacher Demographic Match on Teacher Expectations," Upjohn Working Papers 15-231, W.E. Upjohn Institute for Employment Research.
    3. repec:mpr:mprres:8134 is not listed on IDEAS
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