Comparison of Kernel equating methods under NEAT and NEC designs

IF 0.8 Q3 EDUCATION & EDUCATIONAL RESEARCH International Journal of Assessment Tools in Education Pub Date : 2023-03-15 DOI:10.21449/ijate.981367
Şeyma Nur Özsoy, Sevilay Kilmen
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Abstract

In this study, Kernel test equating methods were compared under NEAT and NEC designs. In NEAT design, Kernel post-stratification and chain equating methods taking into account optimal and large bandwidths were compared. In the NEC design, gender and/or computer/tablet use was considered as a covariate, and Kernel test equating methods were performed by using these covariates and considering bandwidths. The study shows that, in the NEAT design, Kernel chain equating methods exhibit higher error than the post-stratification equating methods do since the lowest error in the NEC design was obtained from the Kernel equating method with large bandwidth through the computer/tablet variable. Kernel test equating results based on the NEC design, which considers gender and computer tablet use variables as a covariate separately, showed lower SEE than that of the NEC pattern, which takes these variables together as covariates. In terms of the bandwidth, when all methods are compared within the pattern used (i.e., NEAT and NEC), it has been seen that generally Kernel test equating with large bandwidth results in fewer errors than the Kernel test equating with optimal bandwidth. When the NEAT and NEC designs are compared generally, the NEAT design has a lower SEE than that of the NEC design.
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NEAT和NEC设计下核等值方法的比较
本研究比较了NEAT和NEC设计下的核试验方程方法。在NEAT设计中,比较了考虑最优带宽和大带宽的核后分层和链方程方法。在NEC设计中,性别和/或计算机/平板电脑的使用被认为是一个协变量,并通过使用这些协变量和考虑带宽来执行核检验方程方法。研究表明,在NEAT设计中,Kernel chain方程方法的误差高于后分层方程方法,因为NEC设计中最小的误差是通过计算机/平板变量从具有大带宽的Kernel方程方法获得的。将性别和电脑平板电脑使用变量分别作为协变量的NEC设计的核心测试结果显示,SEE低于将这些变量一起作为协变量的NEC模式。在带宽方面,当在使用的模式(即NEAT和NEC)内比较所有方法时,可以看到,通常等同于大带宽的内核测试比等同于最佳带宽的内核测试产生的错误更少。当对NEAT和NEC设计进行总体比较时,NEAT设计的SEE低于NEC设计。
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来源期刊
International Journal of Assessment Tools in Education
International Journal of Assessment Tools in Education EDUCATION & EDUCATIONAL RESEARCH-
自引率
11.10%
发文量
40
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