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Revisiting measurement models in psychosomatic medicine research: A latent variable approach

机译:回顾心身医学研究中的测量模型:一种潜在的变量方法

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In this article, we describe how a latent variable modeling approach to the specification of measurement error unifies and benefits traditional methods of examining reliability in psychology and medicine. The models presented include classical reliability and generalizability theory to account for measurement error, latent class analysis to assess sensitivity and specificity, and item response theory to improve questionnaire development. We also illustrate how working with latent variables, in addition to addressing measurement error, may help deal with some instances of missing data. Throughout the article, analyses and results from examples and published articles are presented to illustrate the advantage of working with latent variables.
机译:在本文中,我们描述了一种针对测量误差规范的潜在变量建模方法如何统一并有益于检查心理学和医学可靠性的传统方法。提出的模型包括解决测量误差的经典可靠性和泛化性理论,评估敏感性和特异性的潜在类别分析以及改进问卷开发的项目响应理论。我们还说明了除了解决测量错误外,使用潜在变量还可以帮助处理某些丢失数据的情况。在整篇文章中,都提供了示例和已发表文章的分析和结果,以说明使用潜在变量的优势。

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