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Value-Added to What? How a Ceiling in the Testing Instrument Influences Value-Added Estimation

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Abstract

Value-added measures of teacher quality may be sensitive to the quantitative properties of the testing instruments upon which they are based. This paper focuses on the sensitivity of value-added to a particularly relevant testing-instrument property test-score-ceiling effects. Test-score ceilings are likely to be increasingly common in testing instruments across the country as education policy continues to emphasize proficiency-based reform. Encouragingly, we show that over a wide range of test-score- ceiling severity, teachers value-added estimates are only negligibly influenced by ceiling effects. However, as ceiling conditions approach those found in minimum-competency testing environments, value-added results are significantly altered.

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File URL: http://economics.missouri.edu/working-papers/2008/wp0807_koedel.pdf
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Bibliographic Info

Paper provided by Department of Economics, University of Missouri in its series Working Papers with number 0807.

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Length: 53 pgs.
Date of creation: 15 Jun 2008
Date of revision:
Handle: RePEc:umc:wpaper:0807

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Keywords: Value Added; Test Score Ceiling; Ceiling Effects; Teacher Quality; Teacher Value Added;

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References

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  1. Jesse Rothstein, 2008. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," NBER Working Papers 14442, National Bureau of Economic Research, Inc.
  2. Tue Gorgens & Joel L. Horowitz, 1996. "Semiparametric Estimation of a Censored Regression Model with an Unknown Transformation of the Dependent Variable," Econometrics 9603001, EconWPA.
  3. Jonah E. Rockoff, 2004. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 94(2), pages 247-252, May.
  4. Thomas J. Kane & Douglas O. Staiger, 2002. "The Promise and Pitfalls of Using Imprecise School Accountability Measures," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 91-114, Fall.
  5. 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.
  6. Daniel Aaronson & Lisa Barrow & William Sander, 2002. "Teachers and student achievement in the Chicago public high schools," Working Paper Series WP-02-28, Federal Reserve Bank of Chicago.
  7. Cory Koedel & Julian Betts, 2007. "Re-Examining the Role of Teacher Quality In the Educational Production Function," Working Papers 0708, Department of Economics, University of Missouri.
  8. Cory Koedel, 2008. "An Empirical Analysis of Teacher Spillover Effects in Secondary School," Working Papers 0808, Department of Economics, University of Missouri.
  9. John Yinger (ed.), 2004. "Helping Children Left Behind: State Aid and the Pursuit of Educational Equity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262240467.
  10. Charles Brown & Robert Moffitt, 1983. "The Effect of Ignoring Heteroscedasticity on Estimates of the Tobit Model," NBER Technical Working Papers 0027, National Bureau of Economic Research, Inc.
  11. Arabmazar, Abbas & Schmidt, Peter, 1981. "Further evidence on the robustness of the Tobit estimator to heteroskedasticity," Journal of Econometrics, Elsevier, vol. 17(2), pages 253-258, November.
  12. Michael J. Podgursky & Matthew G. Springer, 2007. "Teacher performance pay: A review," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(4), pages 909-950.
  13. Hurd, Michael, 1979. "Estimation in truncated samples when there is heteroscedasticity," Journal of Econometrics, Elsevier, vol. 11(2-3), pages 247-258.
  14. Richard T. Carson & Yixiao Sun, 2007. "The Tobit model with a non-zero threshold," Econometrics Journal, Royal Economic Society, vol. 10(3), pages 488-502, November.
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Cited by:
  1. Carolyn J. Heinrich & Gerald Marschke, 2010. "Incentives and their dynamics in public sector performance management systems," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 183-208.
  2. Stephen Lipscomb & Brian Gill & Kevin Booker & Matthew Johnson, 2010. "Estimating Teacher and School Effectiveness in Pittsburgh: Value-Added Modeling and Results," Mathematica Policy Research Reports 7644, Mathematica Policy Research.
  3. Fitzpatrick, Maria D. & Grissmer, David & Hastedt, Sarah, 2011. "What a difference a day makes: Estimating daily learning gains during kindergarten and first grade using a natural experiment," Economics of Education Review, Elsevier, vol. 30(2), pages 269-279, April.
  4. Cory Koedel, 2008. "An Empirical Analysis of Teacher Spillover Effects in Secondary School," Working Papers 0808, Department of Economics, University of Missouri.
  5. Cory Koedel & Teerachat Techapaisarnjaroenkit, 2012. "The Relative Performance of Head Start," Eastern Economic Journal, Palgrave Macmillan, vol. 38(2), pages 251-275.

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