Assessing the interchangeability of linked scores in multivariable statistical analyses.
Assessing the interchangeability of linked scores in multivariable statistical analyses.
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评估多变量统计分析中关联分数的互换性。
DOI：
10.1007/s11136-023-03592-x
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发表时间：
2024
期刊：
影响因子：
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通讯作者：
Lai,Jin-Shei
中科院分区：
文献类型：
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作者：
Mansolf,Maxwell;Blackwell,CourtneyK;Cella,David;Lai,Jin-Shei
利用经典检验理论的视角，我们检验了一个连锁在多变量分析中的普适性，包括多元回归和结构方程建模，而不是像文献中最常见的对已建立的子总体的比较。方法为了辅助这一评价，我们提出了一种基于结构方程建模的统计方法来检验给定连锁的适用性，该用例涉及该连锁本身之外的连续变量和分类变量。结果使用Promis®家长代理和幼儿全球健康测量，我们表明，尽管分数之间的高度相关性(这里，r= .829)可能意味着对链接的总体适宜性，但对内容、更详细的调查结论除了链接的统计质量外，链接方法的用户还应该评估链接是否适合应用于感兴趣的特定用例。
PurposeUsing 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.MethodsTo 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.ResultsUsing 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.ConclusionIn 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.