This article presents the pseudo‐equivalent group approach and discusses how it can enhance the quality of linking in the presence of nonequivalent groups. The pseudo‐equivalent group approach allows to achieve pseudo‐equivalence using propensity score reweighting techniques. We use it to perform linking to establish scale concordance between two assessments. The article presents Monte‐Carlo simulations and a real data application based on data from the Survey of Adult Skills (PIAAC) and the Programme for International Student Assessment (PISA). Monte‐Carlo simulations suggest that the pseudo‐equivalent group design is particularly useful whenever there is a large overlap across the two groups with respect to balancing variables and when the correlation between such variables and ability is medium or high. The example based on PISA and PIAAC data indicates that the approach can provide reasonable accurate linking that can be used for group‐level comparisons.

中文翻译：

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通过伪等效组设计进行链接：方法上的考虑以及在PISA和PIAAC评估中的应用

本文介绍了伪等效组方法，并讨论了如何在存在非等效组的情况下提高链接质量。伪等效组方法允许使用倾向评分重加权技术实现伪等效。我们使用它来执行链接以建立两个评估之间的规模一致性。本文介绍了蒙特卡洛模拟和基于成人技能调查（PIAAC）和国际学生评估计划（PISA）数据的真实数据应用程序。蒙特卡洛模拟表明，只要两组之间在平衡变量方面有很大的重叠，并且当此类变量与能力之间的相关性为中或高时，伪等效组设计就特别有用。