The Effect of Dropping Low Scores on Ability Estimates

Ryan P. Bowles

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The Effect of Dropping Low Scores on Ability Estimates

机译：降低低分对能力评估的影响

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Dropping low scores is a common technique used in combining scores from multiple assessments, but no research has addressed the validity of ability estimates when dropping low scores. Using a simulation approach, the expected bias, root mean squared error (RMSE), and benefit to examinees resulting from dropping low scores was estimated for two ability estimation methods, Rasch estimation and proportion correct scoring. The simulation was done for three testing conditions: a normal condition; a bad day condition, when an examinee has a lower ability on one assessment; and a bad test condition, when one assessment is contaminated by an irrelevant factor. Ability estimates based on the complete data were generally preferable to estimates based on data with low scores dropped, suggesting that the use of dropping low scores is not warranted in most assessment situations.

机译：降低低分是合并多个评估中得分的常用技术，但没有研究解决降低低分时能力估计的有效性。使用一种模拟方法，针对两种能力估计方法（Rasch估计和比例正确评分），估计了预期偏差，均方根误差（RMSE）以及因降低低分而给应试者带来的好处。针对三种测试条件进行了仿真：正常条件；当考生在一项评估中能力较低时，情况恶劣；当一项评估被无关因素污染时，测试条件就会变差。通常，基于完整数据的能力估计优于基于低得分下降的数据的估计，这表明在大多数评估情况下，不保证使用低得分下降的方法。

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《Journal of applied measurement》 |2004年第2期|p.178-188|共11页
作者
Ryan P. Bowles;
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Department of Psychology, University of Virginia, P. O. Box 400400, Charlottesville, VA 22904-4400;

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机译：试验长度和样本量对潜在能力评分精度估计的影响。

The Effect of Dropping Low Scores on Ability Estimates

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