Asymptotic Standard Errors of Generalized Partial Credit Model True Score Equating Using Characteristic Curve Methods.

IF 1 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Applied Psychological Measurement Pub Date : 2021-07-01 Epub Date: 2021-05-12 DOI:10.1177/01466216211013101
Zhonghua Zhang
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引用次数: 0

Abstract

In this study, the delta method was applied to estimate the standard errors of the true score equating when using the characteristic curve methods with the generalized partial credit model in test equating under the context of the common-item nonequivalent groups equating design. Simulation studies were further conducted to compare the performance of the delta method with that of the bootstrap method and the multiple imputation method. The results indicated that the standard errors produced by the delta method were very close to the criterion empirical standard errors as well as those yielded by the bootstrap method and the multiple imputation method under all the manipulated conditions.

Abstract Image

基于特征曲线方法的广义部分信用模型真值等价的渐近标准误差。
本研究在共同项目非等值组等值设计的背景下,采用特征曲线法与广义部分信用模型进行测试等值时,应用delta法估计真分等值的标准误差。进一步进行了仿真研究,比较了delta法与自举法和多次插值法的性能。结果表明,在所有操作条件下,δ法得到的标准误差与标准经验标准误差以及自举法和多次插值法得到的标准误差非常接近。
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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
期刊介绍: Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.
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