The Precision and Bias of Cut Score Estimates from the Beuk Standard Setting Method

Abstract The Beuk standard setting method derives cut scores through expert judgment that balances content and normative perspectives. This study developed a method to estimate confidence intervals for Beuk settings and assessed their accuracy via simulations. Simulations varied SME panel size, expert agreement, cut score locations, score distributions, and decision alignment. Panels with 20+ participants provided precise and accurate cut score estimates if strongly agreed upon. Larger panels did not improve precision significantly. Cut score location influenced confidence interval widths, highlighting its importance in planning. Real data showed SME disagreement increased bias and variance of Beuk estimates. Use Beuk cut scores cautiously with small panels, flat score distributions, or significant expert disagreement.

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Publication Details

Journal
Journal of Educational Measurement
Published
2025-09-09
DOI
https://doi.org/10.1111/jedm.70007
Primary Topic
Reliability and Agreement in Measurement
Type
article
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article

The Precision and Bias of Cut Score Estimates from the Beuk Standard Setting Method

Joseph H. Grochowalski, L Molin, Lei Wan, Amy Hendrickson
Journal of Educational Measurement
Reliability and Agreement in Measurement
article

The Precision and Bias of Cut Score Estimates from the Beuk Standard Setting Method

Joseph H. Grochowalski, L Molin, Lei Wan, Amy Hendrickson
article en

Abstract

Abstract The Beuk standard setting method derives cut scores through expert judgment that balances content and normative perspectives. This study developed a method to estimate confidence intervals for Beuk settings and assessed their accuracy via simulations. Simulations varied SME panel size, expert agreement, cut score locations, score distributions, and decision alignment. Panels with 20+ participants provided precise and accurate cut score estimates if strongly agreed upon. Larger panels did not improve precision significantly. Cut score location influenced confidence interval widths, highlighting its importance in planning. Real data showed SME disagreement increased bias and variance of Beuk estimates. Use Beuk cut scores cautiously with small panels, flat score distributions, or significant expert disagreement.

Journal of Educational MeasurementVol. 62(4)
College Board (US)
Openalex Percentile: Top 76%
Reliability and Agreement in Measurement
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The Precision and Bias of Cut Score Estimates from the Beuk Standard Setting Method — Joseph H. Grochowalski, L Molin, et al. · Journal of Educational Measurement (2025) | TGRS Research Map | TGRS