A Multidimensional Model to Facilitate Within Person Comparison of Attributes.

IF 2.9 2区 心理学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Psychometrika Pub Date : 2024-03-01 Epub Date: 2024-02-08 DOI:10.1007/s11336-023-09946-1
Mark L Davison, Seungwon Chung, Nidhi Kohli, Ernest C Davenport
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引用次数: 0

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.

Abstract Image

促进人内属性比较的多维模型。
在心理学研究和实践中,经常会比较一个人在两种不同特质或能力上的得分。这种人与人之间的比较要求测量具有相等的单位(EU)和/或相等的起源: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,并利用联合测量的原理,证明其预期响应变量满足在一个共同量表上进行测量的加法联合测量公理。在对生活质量数据的应用中,欧盟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,该模型有三个维度,以等量单位表示。分析结果可用于解决只有用等量单位表示的分数才能解决的问题。当欧盟模型与数据相匹配时,相应的简单结构模型中的分数将具有更高的有效性,因为它们可以解决那些无法以其他方式解决的问题。本文讨论了局限性和进一步研究的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Psychometrika
Psychometrika 数学-数学跨学科应用
CiteScore
4.40
自引率
10.00%
发文量
72
审稿时长
>12 weeks
期刊介绍: The journal Psychometrika is devoted to the advancement of theory and methodology for behavioral data in psychology, education and the social and behavioral sciences generally. Its coverage is offered in two sections: Theory and Methods (T& M), and Application Reviews and Case Studies (ARCS). T&M articles present original research and reviews on the development of quantitative models, statistical methods, and mathematical techniques for evaluating data from psychology, the social and behavioral sciences and related fields. Application Reviews can be integrative, drawing together disparate methodologies for applications, or comparative and evaluative, discussing advantages and disadvantages of one or more methodologies in applications. Case Studies highlight methodology that deepens understanding of substantive phenomena through more informative data analysis, or more elegant data description.
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