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多维模型促进属性的个体内比较。

A Multidimensional Model to Facilitate Within Person Comparison of Attributes.

机构信息

Department of Educational Psychology, University of Minnesota, Minneapolis,  55455, USA.

US Food and Drug Administration, Silver Spring, USA.

出版信息

Psychometrika. 2024 Mar;89(1):296-316. doi: 10.1007/s11336-023-09946-1. Epub 2024 Feb 8.

Abstract

In psychological research and practice, a person's scores on two different traits or abilities are often compared. Such within-person comparisons require that measurements have equal units (EU) and/or equal origins: an assumption rarely validated. We describe a multidimensional SEM/IRT model from the literature and, using principles of conjoint measurement, show that its expected response variables satisfy the axioms of additive conjoint measurement for measurement on a common scale. In an application to Quality of Life data, the EU analysis is used as a pre-processing step to derive a simple structure Quality of Life model with three dimensions expressed in equal units. The results are used to address questions that can only be addressed by scores expressed in equal units. When the EU model fits the data, scores in the corresponding simple structure model will have added validity in that they can address questions that cannot otherwise be addressed. Limitations and the need for further research are discussed.

摘要

在心理研究和实践中,经常比较一个人在两个不同特质或能力上的得分。这种个体内比较要求测量具有相等的单位(EU)和/或相等的原点:这一假设很少得到验证。我们描述了文献中的一个多维 SEM/IRT 模型,并根据联合测量的原理,表明其预期的响应变量满足共同尺度上的可加联合测量的公理。在对生活质量数据的应用中,EU 分析被用作一个预处理步骤,以推导出一个简单结构的生活质量模型,该模型有三个用相等单位表示的维度。结果被用来解决只能通过相等单位表示的分数来解决的问题。当 EU 模型拟合数据时,对应简单结构模型中的分数将具有附加的有效性,因为它们可以解决否则无法解决的问题。讨论了限制和进一步研究的必要性。

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