Catching Cheating Teachers: The Results of an Unusual Experiment in Implementing Theory
This paper reports on the results of a prospective implementation of methods for detecting teacher cheating. In Spring 2002, over 100 Chicago Public Schools elementary classrooms were selected for retesting based on the cheating detection algorithm. Classrooms prospectively identified as likely cheaters experienced large test score declines. In contrast, classes that had large test score gains on the original test, but were prospectively identified as being unlikely to have cheated, maintained their original gains. Randomly selected classrooms also maintained their gains. The cheating detection tools were thus demonstrated to be effective in distinguishing between classrooms that achieved large test-score gains as a consequence of cheating versus those whose gains were the result of outstanding teaching. In addition, the data generated by the implementation experiment highlight numerous ways in which the original cheating detection methods can be improved in the future.
|Date of creation:||Jan 2003|
|Date of revision:|
|Publication status:||published as Gale, William G. and Janet Rothenberg Pack (eds.) Brookings-Wharton Papers on Urban Affairs 2003. Washington, D.C.: Brookings Institution Press, 2003.|
|Note:||CH LE PE ED|
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- Brian A. Jacob & Steven D. Levitt, 2003.
"Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating,"
NBER Working Papers
9413, National Bureau of Economic Research, Inc.
- Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation Of The Prevalence And Predictors Of Teacher Cheating," The Quarterly Journal of Economics, MIT Press, vol. 118(3), pages 843-877, August.
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- Richards, Craig E. & Sheu, Tian Ming, 1992. "The South Carolina school incentive reward program: A policy analysis," Economics of Education Review, Elsevier, vol. 11(1), pages 71-86, March.
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