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Exploring sources of construct‐relevant multidimensionality in psychiatric measurement: A tutorial and illustration using the Composite Scale of Morningness

机译:探索精神病学测量中与构造有关的多维来源:使用早晨综合量表的教程和插图

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摘要

This paper illustrates a psychometric approach of broad relevance to psychiatric research instruments. Many instruments include indicators related to more than one source of true‐score variance due to the: (1) assessment of conceptually adjacent constructs; (2) the presence of a global construct underlying answers to items designed to assess multiple dimensions. Exploratory structural equation modelling (ESEM) is naturally suited to the investigation of the first source, whereas bifactor models are particularly suited to the investigation of the second source. When both sources are present, bifactor‐ESEM becomes the model of choice. To illustrate this framework, we use the responses of 1159 adults [655 female, 504 male, mean age ( ) = 41.84] who completed the French Version of the Composite Scale of Morningness (CSM). We investigate the factor structure of the CSM, test the relations between CSM factors and body mass index, and verify the measurement invariance of the model across gender and age groups.
机译:本文说明了一种与精神病学研究工具广泛相关的心理学方法。由于以下原因,许多工具都包含与多个真实得分方差有关的指标:(1)评估概念上相邻的结构; (2)存在一个全局构造,该整体构造是旨在评估多个维度的项目答案的基础。探索性结构方程模型(ESEM)自然适合于第一种来源的研究,而双因素模型特别适合于第二种来源的研究。当两种来源同时存在时,双因子ESEM成为首选模型。为了说明这一框架,我们使用了1159名成年人的反应[655名女性,504名男性,平均年龄( )= 41.84],他完成了法学版的早晨综合量表(CSM)。我们研究了CSM的因子结构,测试了CSM因子与体重指数之间的关系,并验证了该模型在性别和年龄组之间的测量不变性。

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