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The Impact of Levels of Discrimination on Vertical Equating in the Rasch Model

机译:Rasch模型中歧视水平对垂直平等的影响

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摘要

Aligning scales in vertical equating carries a number of challenges for practitioners in contexts such as large-scale testing. This paper examines the impact of high and low discrimination on the results of vertical equating when the Rasch model is applied. A simulation study is used to show that different levels of discrimination introduce systematic error into estimates. A second simulation study shows that for the purpose of vertical equating, items with high or low discrimination contain information about translation constants that contains systematic error. The impact of differential item discrimination on vertical equating is examined and subsequently illustrated in terms of a real data set from a large-scale testing program, with vertical links between grade 3 and 5 numeracy tests. Implications of the results for practitioners conducting vertical equating with the Rasch model are identified, including monitoring progress over time. Implications for other item response models are also discussed.
机译:在诸如大范围测试的情况下,垂直均衡器中的刻度对齐对从业人员提出了许多挑战。本文研究了应用Rasch模型时,高低歧视对垂直等式结果的影响。通过仿真研究表明,不同程度的歧视将系统误差引入估计。第二个模拟研究表明,出于垂直等式的目的,具有高或低区分度的项目包含有关包含系统误差的平移常数的信息。检验了差异项歧视对垂直平等的影响,并随后根据大规模测试程序中的真实数据集(在3级和5级算术测试之间进行垂直链接)进行了说明。确定了对与Rasch模型进行垂直等同的从业者的结果含义,包括随着时间的推移监视进度。还讨论了其他项目响应模型的含义。

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  • 来源
    《Journal of applied measurement》 |2018年第3期|216-228|共13页
  • 作者

    Stephen NHumphrey;

  • 作者单位

    Stephen Mark Humphry, Graduate School of Education, University of Western Australia, M428, 35 Stirling Hwy., Crawley, WA 6009, Australia, Stephen.;

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  • 正文语种 eng
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