Mathematica multi-site random assignment evaluation of TIF pay-for-performance bonuses¶

Element · All elements
Evidence · 1 claim (1 for) · 1 study (1 design), q1 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

Mathematica's congressionally mandated study, prepared for the U.S. Department of Education's National Center for Education Evaluation, is described as "one of the largest multi-site random assignment evaluations conducted on the impact of pay-for-performance bonuses." It examines TIF implementation for all 2010 grantees and bonus impacts in a subset of 12 districts, with a time frame of 2009-2017.

Design Implications¶

Context¶

Requirements¶

• Congressional mandate; prepared for the U.S. Department of Education, National Center for Education Evaluation

Constraints¶

• Impact analysis limited to a subset of 12 districts, while implementation is examined for all 2010 grantees

Target Learners¶

• Teachers and principals in high-need schools participating in TIF

Target Learning Goals¶

• Estimate impacts of pay-for-performance bonuses on teacher effectiveness and student achievement

Claims¶

• The TIF evaluation is designed to estimate impacts of performance pay on student achievement and on educators' attitudes, awareness, mobility, and recruitment [+W]

Related Elements¶

• Teacher Incentive Fund (TIF) performance pay evaluation study design report
• Teacher Incentive Fund (TIF) performance-based compensation program
• Teacher Incentive Fund (TIF) educator evaluation and compensation strategies

Examples¶

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Key Sources¶

• Jeffrey Max, Jill Constantine, Alison Wellington, Kristin Hallgren, Steven Glazerman, Hanley Chiang, Cecilia Speroni. (2014). Pay for Performance: Evaluating the Teacher Incentive Fund (In Focus Brief). Princeton, NJ: Mathematica Policy Research. https://www.mathematica.org/publications/pay-for-performance-evaluating-the-teacher-incentive-fund