Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 625 N. Michigan Ave Fl 27, Chicago, IL, 60611, USA.
Qual Life Res. 2024 Apr;33(4):1121-1131. doi: 10.1007/s11136-023-03592-x. Epub 2024 Jan 31.
Using the lens of classical test theory, we examine a linkage's generalizability with respect to use in multivariable analyses, including multiple regression and structural equation modeling, rather than comparison of established subpopulations as is most common in the literature.
To aid in this evaluation, we present a structural-equation-modeling based statistical method to examine the suitability of a given linkage for use cases involving continuous and categorical variables external to the linkage itself.
Using the PROMIS® Parent Proxy and Early Childhood Global Health measures, we show that, although a high correlation between the scores (here, r = .829) may imply a general suitability for linking, a more detailed investigation of content, measurement structure, and results of the proposed methodology reveal important differences between the measures which can compromise interchangeability in certain use cases.
In addition to the statistical quality of a linkage, users of linking methodology should also assess the question of whether the linkage is appropriate to apply to particular use cases of interest.
运用经典测量理论的视角，我们考察了在多元分析（包括多元回归和结构方程模型）中使用链接的可推广性，而不是像文献中最常见的那样比较已建立的亚组。
为了帮助进行这种评估，我们提出了一种基于结构方程模型的统计方法，以检验给定链接在涉及链接本身之外的连续和分类变量的用例中的适用性。
使用 PROMIS® 家长代理和幼儿全球健康测量，我们表明，尽管分数之间存在高度相关性（此处 r =.829）可能意味着链接的总体适用性，但更详细地研究内容、测量结构和拟议方法的结果揭示了这些测量之间的重要差异，这些差异可能会在某些用例中影响可互换性。
除了链接的统计质量外，链接方法的使用者还应评估链接是否适用于特定感兴趣的用例。
