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名义响应模型下测验等值中参数尺度变换系数的渐近标准误差

Asymptotic Standard Errors of Parameter Scale Transformation Coefficients in Test Equating Under the Nominal Response Model.

作者信息

Zhang Zhonghua

机构信息

The University of Melbourne, Victoria, Australia.

出版信息

Appl Psychol Meas. 2021 Mar;45(2):134-138. doi: 10.1177/0146621620965740. Epub 2020 Oct 21.

Abstract

Researchers have developed a characteristic curve procedure to estimate the parameter scale transformation coefficients in test equating under the nominal response model. In the study, the delta method was applied to derive the standard error expressions for computing the standard errors for the estimates of the parameter scale transformation coefficients. This brief report presents the results of a simulation study that examined the accuracy of the derived formulas and compared the performance of this analytical method with that of the multiple imputation method. The results indicated that the standard errors produced by the delta method were very close to the criterion standard errors as well as those yielded by the multiple imputation method under all the simulation conditions.

摘要

研究人员开发了一种特征曲线程序,用于在名义响应模型下估计测验等值中的参数尺度变换系数。在该研究中,应用德尔塔方法来推导用于计算参数尺度变换系数估计值标准误差的标准误差表达式。本简要报告呈现了一项模拟研究的结果,该研究检验了所推导公式的准确性,并将这种分析方法的性能与多重填补法的性能进行了比较。结果表明,在所有模拟条件下,德尔塔方法产生的标准误差与标准标准误差以及多重填补法产生的标准误差非常接近。

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