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Teacher Effect Estimates and Decision Rules for Establishing Student-Teacher Linkages: What are the Implications for High-Stakes Personnel Policies in an Urban School District?

Author

Listed:
  • Han Bing

    (RAND Corporation)

  • McCaffrey Daniel

    (RAND Corporation)

  • Springer Matthew G.

    (Vanderbilt University)

  • Gottfried Michael

    (RAND Corporation and Loyola Marymount University)

Abstract

Both research and practice of value-added models (VAM) have been growing in recent years due to the widespread effort to quantify teacher effectiveness. The existing VAM literature has not yet tested the sensitivity of value-added estimates to the rules that define which students contribute to each teacher’s value-added estimate. Student-teacher linkages are often a complex network due to various transfers, students taking multiple courses in the same subject, and students receiving special education or other “pull-out” services. Complex linkages are often considered as among the main threats to the validity of VAM. In this paper we conducted a case study to examine the sensitivity of VAM to the alternative link definitions. We examined three popular VAM approaches and applied alternative rules for linking students to teachers with each method. We found no overall sensitivity of estimated teacher effects to the linking rules. Even though more teachers had value-added estimates under more inclusive rules, for a teacher with estimates under all three rules, the correlation among pairs of estimates created using different linking rules was always above 0.95 and generally above 0.98 for each VAM approach. The value-added estimates of a small number of teachers were affected by highly different link definitions and these tended to be teachers with small numbers of students. Restricting the minimal sample size for calculating individual teachers’ value-added largely reduced the sensitivity in link definition.

Suggested Citation

  • Han Bing & McCaffrey Daniel & Springer Matthew G. & Gottfried Michael, 2012. "Teacher Effect Estimates and Decision Rules for Establishing Student-Teacher Linkages: What are the Implications for High-Stakes Personnel Policies in an Urban School District?," Statistics, Politics and Policy, De Gruyter, vol. 3(2), pages 1-24, July.
  • Handle: RePEc:bpj:statpp:v:3:y:2012:i:2:p:24:n:1
    DOI: 10.1515/2151-7509.1035
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    References listed on IDEAS

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    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 175-214.
    3. Daniel F. McCaffrey & Tim R. Sass & J. R. Lockwood & Kata Mihaly, 2009. "The Intertemporal Variability of Teacher Effect Estimates," Education Finance and Policy, MIT Press, vol. 4(4), pages 572-606, October.
    4. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    5. Donald Boyd & Pamela Grossman & Hamilton Lankford & Susanna Loeb & James Wyckoff, 2006. "How Changes in Entry Requirements Alter the Teacher Workforce and Affect Student Achievement," Education Finance and Policy, MIT Press, vol. 1(2), pages 176-216, April.
    6. J. R. Lockwood & Daniel F. McCaffrey & Louis T. Mariano & Claude Setodji, 2007. "Bayesian Methods for Scalable Multivariate Value-Added Assessment," Journal of Educational and Behavioral Statistics, , vol. 32(2), pages 125-150, June.
    7. Douglas O. Staiger & Jonah E. Rockoff, 2010. "Searching for Effective Teachers with Imperfect Information," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 97-118, Summer.
    8. Brian A. Jacob & Lars Lefgren, 2005. "Principals as Agents: Subjective Performance Measurement in Education," NBER Working Papers 11463, National Bureau of Economic Research, Inc.
    9. Peter Z. Schochet & Hanley S. Chiang, "undated". "Error Rates in Measuring Teacher and School Performance Based on Student Test Score Gains," Mathematica Policy Research Reports d415285f980b4d64b7e75f40b, Mathematica Policy Research.
    10. repec:mpr:mprres:6721 is not listed on IDEAS
    11. Jacob, Brian A. & Lefgren, Lars, 2005. "Principals as Agents: Subjective Performance Measures in Education," Working Paper Series rwp05-040, Harvard University, John F. Kennedy School of Government.
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