Patrick Donald L
Department of Health Services, University of Washington, Seattle, WA, 98195, USA.
J Patient Rep Outcomes. 2019 Jul 30;3(1):48. doi: 10.1186/s41687-019-0133-2.
The three articles in this issue from members of the Psychometric Special Interest Group (SIG) of the International Society for Quality of Life Research (ISOQOL) examine three different psychometric techniques researchers use to analyze item and scale properties of a patient-reported outcome (PRO) instrument. The articles illustrate their respective strengths and weaknesses.
Many published articles use one of the three methodologies analyzed by the authors and the reader should have a basic familiarity with the assumptions, approaches, and statistical techniques behind each analysis. These three papers shed light on some of the conundrums facing developers and users of PRO measures and data regarding what method and instruments to use. These papers have used a dataset on depressive symptoms to show that no attempt to measure such a complex feeling domain as depressed mood can cover the entire spectrum of the experience.
As a group, these three papers will help readers evaluate published articles on instruments using one or more approaches as well as providing general education on these statistical methods in application.
本期来自国际生活质量研究协会（ISOQOL）心理测量特别兴趣小组（SIG）成员的三篇文章探讨了研究人员用于分析患者报告结局（PRO）工具的项目和量表属性的三种不同心理测量技术。这些文章阐述了它们各自的优缺点。
许多已发表的文章使用了作者分析的三种方法之一，读者应该对每种分析背后的假设、方法和统计技术有基本的了解。这三篇论文揭示了PRO测量的开发者和使用者在使用何种方法和工具方面面临的一些难题。这些论文使用了一个关于抑郁症状的数据集，以表明没有任何一种试图测量像抑郁情绪这样复杂情感领域的方法能够涵盖整个体验范围。
总体而言，这三篇论文将帮助读者评估使用一种或多种方法发表的关于工具的文章，并在这些统计方法的应用方面提供通识教育。
