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Innovations in Measuring Rater Accuracy in Standard Setting: Assessing “Fit” to Item Characteristic Curves

机译:在标准设置中测量评估者准确性的创新:评估“匹配”到项目特征曲线

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摘要

Standard setting methods such as the Angoff method rely on judgments of item characteristics; item response theory empirically estimates item characteristics and displays them in item characteristic curves (ICCs). This study evaluated several indexes of rater fit to ICCs as a method for judging rater accuracy in their estimates of expected item performance for target groups of test-takers. Simulated data were used to compare adequately fitting ratings to poorly fitting ratings at various target competence levels in a simulated two stage standard setting study. The indexes were then applied to a set of real ratings on 66 items evaluated at 4 competence thresholds to demonstrate their relative usefulness for gaining insight into rater “fit.” Based on analysis of both the simulated and real data, it is recommended that fit indexes based on the absolute deviations of ratings from the ICCs be used, and those based on the standard errors of ratings should be avoided. Suggestions are provided for using these indexes in future research and practice.
机译:诸如Angoff方法之类的标准设置方法取决于对项目特征的判断;项目响应理论根据经验估算项目特征并将其显示在项目特征曲线(ICC)中。这项研究评估了评估者对ICC的适应性指标,以此作为评估评估者对目标应试者目标群体预期项目表现的准确性的一种方法。在模拟的两阶段标准设定研究中,使用模拟数据在各种目标能力水平下将适当拟合的等级与不良拟合的等级进行比较。然后,将这些索引应用于对在4个能力阈值下进行评估的66个项目的一组真实评分,以证明其相对有用以深入了解评估者的“契合度”。基于对模拟数据和实际数据的分析,建议使用基于ICC额定值绝对偏差的拟合指数,而应避免基于额定标准误差的那些。提供了在将来的研究和实践中使用这些索引的建议。

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  • 来源
    《Applied Measurement in Education》 |2009年第2期|120-143|共24页
  • 作者单位

    Department of Psychology, California State University, Sacramento, USA;

    Assessment Unit, Excelsior College, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 13:13:13

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