Abstract

Test-based accountability is now the cornerstone of U.S. education policy, and it is becoming more important in many other nations as well. Educators sometimes respond to test-based accountability in ways that produce score inflation. In the past, score inflation has usually been evaluated by comparing trends in scores on a high-stakes test to trends on a lower-stakes audit test. However, separate audit tests are often unavailable, and their use has several important drawbacks, such as potential bias from motivational differences. As an alternative, we propose self-monitoring assessments (SMAs) that incorporate audit components into operational high-stakes assessments. This paper provides a framework for designing SMAs. It describes 5 specific SMA designs that could be incorporated into the non-equivalent groups anchor test linking approaches used by most large-scale assessments and discusses analytical issues that would arise in their use.

Highlights

  • Test-based accountability is the cornerstone of U.S education policy, and it is becoming more important in many other nations as well

  • We propose an alternative to separate audit tests: self-monitoring assessments (SMAs)

  • The principle underlying the design of SMAs is straightforward

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Summary

Introduction

Test-based accountability is the cornerstone of U.S education policy, and it is becoming more important in many other nations as well. Research has made clear that in their attempts to raise scores, educators often resort to undesirable strategies These include focusing too narrowly on tested content and providing test preparation that capitalizes on substantively unimportant aspects of the test, such as format or unimportant features of scoring rubrics (e.g., Stecher 2002, Stecher & Mitchell, 1995). Research has shown that this inflation can be very large (Klein, Hamilton, McCaffrey, & Stecher, 2000; Koretz & Barron, 1998; Koretz, Linn, Dunbar, and Shepard, 1991) Feuer (this volume) notes two responses: better evaluation of the effects of the program, and efforts to design the programs to minimize unwanted effects and maximize positive effects

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