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Assessing Assessments of School Performance: The Case of California


  • Tobias, Justin


The 1999 Public Schools Accountability Act set forth the Academic Performance Index (API) to assess the performance of California's public schools. Under the Governor's Performance Awards program, California schools showing adequate improvement in API scores become eligible for state funding. This paper investigates the rule used by California which defines awards eligibility and determines if this rule is consistent with the act of rewarding schools that are performing better than expected. In addition, we introduce and estimate a multilevel hierarchical model to determine those school districts and counties that demonstrated the best performance over the 2000-2001 period.

Suggested Citation

  • Tobias, Justin, 2004. "Assessing Assessments of School Performance: The Case of California," Staff General Research Papers Archive 12010, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:12010

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    References listed on IDEAS

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    Cited by:

    1. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G. & Branch, Gregory F., 2007. "Charter school quality and parental decision making with school choice," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 823-848, June.
    2. Isabella Sulis & Mariano Porcu, 2015. "Assessing Divergences in Mathematics and Reading Achievement in Italian Primary Schools: A Proposal of Adjusted Indicators of School Effectiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 607-634, June.
    3. Eric A. Hanushek & John F. Kain & Daniel M. O'Brien & Steven G. Rivkin, 2005. "The Market for Teacher Quality," NBER Working Papers 11154, National Bureau of Economic Research, Inc.
    4. Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2009. "New Evidence about Brown v. Board of Education: The Complex Effects of School Racial Composition on Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 349-383, July.
    5. Steven Glazerman & Tim Silva & Nii Addy & Sarah Avellar & Jeffrey Max & Allison McKie & Brenda Natzke & Michael Puma & Patrick Wolf & Rachel Ungerer Greszler, "undated". "Options for Studying Teacher Pay Reform Using Natural Experiments," Mathematica Policy Research Reports a8a2eb832b494266bf4ecee19, Mathematica Policy Research.

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