Linking Unlinkable Tests: A Step Forward

IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Silvia Testa, Renato Miceli, Renato Miceli
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引用次数: 0

Abstract

Random Equating (RE) and Heuristic Approach (HA) are two linking procedures that may be used to compare the scores of individuals in two tests that measure the same latent trait, in conditions where there are no common items or individuals. In this study, RE—that may only be used when the individuals taking the two tests come from the same population—was used as a benchmark for evaluating HA, which, in contrast, does not require any distributional assumptions. The comparison was based on both simulated and empirical data. Simulations showed that HA was good at reproducing the link shift connecting the difficulty parameters of the two sets of items, performing similarly to RE under the condition of slight violation of the distributional assumption. Empirical results showed satisfactory correspondence between the estimates of item and person parameters obtained via the two procedures.

链接不可链接的测试:向前迈进了一步
随机等式(RE)和启发式方法(HA)是两种联系程序,可用于在没有共同项目或个人的情况下比较测量相同潜在特征的两个测试中的个体得分。在这项研究中,re(只有当参加两项测试的个体来自同一人群时才可以使用)被用作评估HA的基准,相反,它不需要任何分布假设。对比基于模拟数据和经验数据。仿真结果表明,HA很好地再现了连接两组项目难度参数的链接移位,在轻微违反分布假设的情况下,其表现与RE相似。实证结果表明,通过这两种方法获得的项目参数估计值和人参数估计值之间具有令人满意的对应关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.90
自引率
15.00%
发文量
47
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