Design Characteristics of Effective U.S. Teacher Pay-for-Performance: Implications from Meta-Analysis

36 Pages Posted: 15 Dec 2022

See all articles by Dan Fitzpatrick

Dan Fitzpatrick

University of Michigan at Ann Arbor

Chelsea Brehm

Western Michigan University

Jason Burns

Seton Hall University

Rachel Renbarger

Independent

Date Written: November 29, 2022

Abstract

Incentive pay programs for teachers are a popular tool for improving student achievement. Prior studies reveal large variation in the design of incentive programs and their effect on student learning, but do not link policy design characteristics to outcomes. We coded all available experimental or quasi-experimental studies that incentivized the performance of teachers on eight policy characteristics. For 25 causal analyses of U.S. pay-for-performance programs 1997-2020, the effect on student learning is not related to the incentive size but other policy design characteristics (including group size, bonus structure, and evaluation criteria) show important relationships to effect sizes.

Keywords: teacher incentive pay, meta-analysis, policy design, pay-for-performance, policy characteristics

Suggested Citation

Fitzpatrick, Dan and Brehm, Chelsea and Burns, Jason and Renbarger, Rachel, Design Characteristics of Effective U.S. Teacher Pay-for-Performance: Implications from Meta-Analysis (November 29, 2022). Available at SSRN: https://ssrn.com/abstract=4289021 or http://dx.doi.org/10.2139/ssrn.4289021

Dan Fitzpatrick (Contact Author)

University of Michigan at Ann Arbor ( email )

500 S. State Street
Ann Arbor, MI 48109
United States

Chelsea Brehm

Western Michigan University ( email )

Kalamazoo, MI 49008
United States

Jason Burns

Seton Hall University ( email )

Rachel Renbarger

Independent ( email )

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