Abstract：
The PROsetta Stone Project, summarized in this issue by Schalet et al. (Psychometrika 86, 2021), is a major step forward in enabling comparability between different patient-reported outcomes measures. Schalet et al. clearly describe the psychometric methods used in the PROsetta Stone project and other projects from the Patient-Reported Outcomes Measurement Information System (PROMIS): linking based on unidimensional item response theory (IRT), equipercentile linking, and calibrated projection based on multidimensional IRT. Analyses in a validation data set and simulation studies provide strong support that the linking methods are robust when basic assumptions are fulfilled. The links already established will be of great value to the field, and the methodology described by Schalet et al. will hopefully inspire the next series of linking studies. Among potential improvements that should be considered by new studies are: (1) a thorough evaluation of the content of the measures to be linked to better guide the evaluation of measurement assumptions, (2) improvements in the design of linking studies such as selection of the optimal sample to provide data in the score ranges where linking precision is most critical and using counterbalanced designs to control for order effects. Finally, it may be useful to consider how the linking algorithms are used in subsequent data analyses. Analytic strategies based on plausible values or latent regression IRT models may be preferable to the simple transformation of scores from one patient at the time.
摘要：
普罗塞塔石碑项目,本期由Schalet等人总结。（Psychometrika86，2021），是实现不同患者报告结果指标之间可比性的重要一步。Schalet等人。清楚地描述PROsettaStone项目和患者报告结果测量信息系统（PROMIS）的其他项目中使用的心理测量方法：基于一维项目响应理论（IRT）的链接，等百分位链接，和基于多维IRT的校准投影。验证数据集和模拟研究中的分析提供了强有力的支持，即在满足基本假设时，链接方法是可靠的。已经建立的链接将对该领域具有重要价值，以及Schalet等人描述的方法。希望能激发下一系列的联系研究。新研究应考虑的潜在改进包括：（1）对要联系的措施的内容进行彻底评估，以更好地指导对测量假设的评估，（2）改进链接研究的设计，例如选择最佳样本以在链接精度最关键的分数范围内提供数据，并使用平衡设计来控制订单效应。最后,它可能是有用的考虑如何在随后的数据分析中使用的链接算法。基于合理值或潜在回归IRT模型的分析策略可能比当时一名患者的简单分数转换更可取。
