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The common core conundrum: To what extent should we worry that changes to assessments will affect test-based measures of teacher performance?

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  • Backes, Ben
  • Cowan, James
  • Goldhaber, Dan
  • Koedel, Cory
  • Miller, Luke C.
  • Xu, Zeyu

Abstract

Policies that require the use of information about student achievement to evaluate teacher performance are becoming increasingly common across the United States, but there is some question as to how or whether to use student test-based teacher evaluations when student assessments change. We bring empirical evidence to bear on this issue. Specifically, we examine how estimates of teacher value-added are influenced by assessment changes across 12 test transitions in two subjects and five states. In all of the math transitions we study, value-added measures from test change years and stable regime years are broadly similar in terms of their statistical properties and informational content. This is also true for some of the reading transitions; we do find, however, some cases in which an assessment change in reading meaningfully alters value-added measures. Our study directly informs contemporary policy debates about how to evaluate teachers when new assessments are introduced and provides a general analytic framework for examining employee evaluation policies in the face of changing evaluation metrics.

Suggested Citation

  • Backes, Ben & Cowan, James & Goldhaber, Dan & Koedel, Cory & Miller, Luke C. & Xu, Zeyu, 2018. "The common core conundrum: To what extent should we worry that changes to assessments will affect test-based measures of teacher performance?," Economics of Education Review, Elsevier, vol. 62(C), pages 48-65.
  • Handle: RePEc:eee:ecoedu:v:62:y:2018:i:c:p:48-65
    DOI: 10.1016/j.econedurev.2017.10.004
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    Cited by:

    1. Schiltz, Fritz & Sestito, Paolo & Agasisti, Tommaso & De Witte, Kristof, 2018. "The added value of more accurate predictions for school rankings," Economics of Education Review, Elsevier, vol. 67(C), pages 207-215.
    2. Julie Berry Cullen & Cory Koedel & Eric Parsons, 2021. "The Compositional Effect of Rigorous Teacher Evaluation on Workforce Quality," Education Finance and Policy, MIT Press, vol. 16(1), pages 7-41, Winter.
    3. Vosters, Kelly N. & Guarino, Cassandra M. & Wooldridge, Jeffrey M., 2018. "Understanding and evaluating the SAS® EVAAS® Univariate Response Model (URM) for measuring teacher effectiveness," Economics of Education Review, Elsevier, vol. 66(C), pages 191-205.
    4. Oketch, Moses & Rolleston, Caine & Rossiter, Jack, 2021. "Diagnosing the learning crisis: What can value-added analysis contribute?," International Journal of Educational Development, Elsevier, vol. 87(C).
    5. Backes, Ben & Cowan, James, 2019. "Is the pen mightier than the keyboard? The effect of online testing on measured student achievement," Economics of Education Review, Elsevier, vol. 68(C), pages 89-103.

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