The Case for Using the Repeatability Coefficient When Calculating Test-Retest Reliability
The Case for Using the Repeatability Coefficient When Calculating Test-Retest Reliability
复制标题
DOI：
10.1371/journal.pone.0073990
复制
发表时间：
2013-09-09
期刊：
影响因子：
3.7
通讯作者：
Andreou, Pantelis
中科院分区：
文献类型：
--
作者：
Vaz, Sharmila;Falkmer, Torbjoern;Andreou, Pantelis
标准化工具的使用是循证实践的重要组成部分。对标准化工具的依赖要求临床医生了解其属性，优势和弱点，以便解释结果并做出临床决策。本文提出了一种情况下，临床医生考虑测量误差（ME）指标的重复性系数（CR）或最小真实的差异（SRD）相对可靠性系数，如皮尔逊（r）和组内相关系数（ICC），同时选择工具来测量变化和推断变化为真。作者提出的统计方法，是目前的方法来评估评估工具和结果测量的重测信度的一部分。从以前的测试，重测研究中选择的例子被用来阐明在临床决策的评估工具的ME知识的附加优势。CR以与评估工具相同的单位计算，并设置可由工具测量的最小可检测真实变化的边界。
The use of standardised tools is an essential component of evidence-based practice. Reliance on standardised tools places demands on clinicians to understand their properties, strengths, and weaknesses, in order to interpret results and make clinical decisions. This paper makes a case for clinicians to consider measurement error (ME) indices Coefficient of Repeatability (CR) or the Smallest Real Difference (SRD) over relative reliability coefficients like the Pearson's (r) and the Intraclass Correlation Coefficient (ICC), while selecting tools to measure change and inferring change as true. The authors present statistical methods that are part of the current approach to evaluate test-retest reliability of assessment tools and outcome measurements. Selected examples from a previous test-retest study are used to elucidate the added advantages of knowledge of the ME of an assessment tool in clinical decision making. The CR is computed in the same units as the assessment tool and sets the boundary of the minimal detectable true change that can be measured by the tool.