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Performance pay, test scores, and student learning objectives

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  • Balch, Ryan
  • Springer, Matthew G.

Abstract

Austin Independent School District's (AISD) REACH pay for performance program has become a national model for compensation reform. This study analyzes the test scores of students enrolled in schools participating in the REACH program to students enrolled in schools within AISD not participating in the program. We also investigate the relationship between student learning objectives (SLOs), the program's primary measure of individual teacher performance, and teacher performance as measured by value-added student test scores. The AISD REACH program is associated with positive student test score gains in both math and reading during the initial year of implementation. Student test score gains are maintained in the second year, but we do not find any additional growth. We also find that SLOs are not significantly correlated with a teacher's value-added student test scores.

Suggested Citation

  • Balch, Ryan & Springer, Matthew G., 2015. "Performance pay, test scores, and student learning objectives," Economics of Education Review, Elsevier, vol. 44(C), pages 114-125.
    • Handle: RePEc:eee:ecoedu:v:44:y:2015:i:c:p:114-125
    DOI: 10.1016/j.econedurev.2014.11.002
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    Cited by:

    1. Abdulmumini Baba Alfa & Abdulmumini Baba Alfa & Mohd Zaini Abd Karim, 2016. "Student Enthusiasm as a Key Determinant of their Performance," International Review of Management and Marketing, Econjournals, vol. 6(2), pages 237-245.
    2. Filmer,Deon P. & Habyarimana,James Paul & Sabarwal,Shwetlena, 2020. "Teacher Performance-Based Incentives and Learning Inequality," Policy Research Working Paper Series 9382, The World Bank.
    3. Hanley Chiang & Cecilia Speroni & Mariesa Herrmann & Kristin Hallgren & Paul Burkander & Alison Wellington, "undated". "Evaluation of the Teacher Incentive Fund: Final Report on Implementation and Impacts of Pay-for-Performance Across Four Years," Mathematica Policy Research Reports 568955b06a2a4b11b954dded8, Mathematica Policy Research.
    4. Brian P. Gill & Jennifer S. Lerner & Paul Meosky, "undated". "Re-Imagining Accountability in K-12 Education: A Behavioral Science Perspective," Mathematica Policy Research Reports d0c19d0709b641259fe391b2e, Mathematica Policy Research.
    5. Alison Wellington & Hanley Chiang & Kristin Hallgren & Cecilia Speroni & Mariesa Herrmann & Paul Burkander, "undated". "Evaluation of the Teacher Incentive Fund: Implementation and Impacts of Pay-for-Performance After Three Years (Final Report)," Mathematica Policy Research Reports c01a81e283374843b1d4b39ce, Mathematica Policy Research.
    6. Apriesnig, Jenny L. & Manning, Dale T. & Suter, Jordan F. & Magzamen, Sheryl & Cross, Jennifer E., 2020. "Academic stars and Energy Stars, an assessment of student academic achievement and school building energy efficiency," Energy Policy, Elsevier, vol. 147(C).
    7. Swain, Walker A. & Rodriguez, Luis A. & Springer, Matthew G., 2019. "Selective retention bonuses for highly effective teachers in high poverty schools: Evidence from Tennessee," Economics of Education Review, Elsevier, vol. 68(C), pages 148-160.
    8. Berlinski, Samuel & Ramos, Alejandra, 2020. "Teacher mobility and merit pay: Evidence from a voluntary public award program," Journal of Public Economics, Elsevier, vol. 186(C).
    9. Hanley Chiang & Alison Wellington & Kristin Hallgren & Cecilia Speroni & Mariesa Herrmann & Steven Glazerman & Jill Constantine, "undated". "Evaluation of the Teacher Incentive Fund: Implementation and Impacts of Pay-for-Performance After Two Years," Mathematica Policy Research Reports 4f123c78ddb644079b88d2bb4, Mathematica Policy Research.

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    More about this item

    Keywords

    Pay for performance; Teacher salaries; Educational economics;
    All these keywords.

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid

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