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基于项目的因子量表的潜在变量建模:关于三因素还是七因素?——揭示三因素精神病态量表(TriPM)的结构,由 Roy 等人。

Latent variable modeling of item-based factor scales: Comment on Triarchic or septarchic?-Uncovering the Triarchic Psychopathy Measure's (TriPM) Structure, by Roy et al.

机构信息

Department of Psychology.

Department of Psychiatry.

出版信息

Personal Disord. 2021 Jan;12(1):16-23. doi: 10.1037/per0000424. Epub 2020 Oct 1.

Abstract

We critique Roy et al.'s (2020; this issue) approach to characterizing the item-level factor structure of the three scales of the Triarchic Psychopathy Measure (TriPM), in light of the manner in which the TriPM scales were developed, the purposes they were designed to serve, and the growing body of evidence supporting their construct validity. We focus on three major points: (1) The TriPM scales are item-based factor scales - i.e., item sets designed to index broad factors of larger multi-scale (parent) inventories; (2) item-level structural analysis can be useful for representing broad dimensions tapped by such scales, but it cannot be expected to provide an accurate picture of narrower subdimensions (facets) assessed by their parent inventories; and (3) it is critical to consider the nomological networks of the TriPM scales (and other triarchic scale measures) in appraising their effectiveness as operationalizations of the triarchic model constructs. We illustrate the first and second of these points by applying Roy et al.'s analytic approach to the trait scales of the NEO-FFI, which were developed to index broad personality dimensions of the multi-scale NEO-PI-R. We address the third point with reference to the growing body of literature supporting the construct validity of the TriPM scales and demonstrating their utility for advancing an integrative understanding of psychopathy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

我们批评了 Roy 等人(2020 年;本期)在描述三因素精神病态度量表(TriPM)三个量表的项目水平因素结构时的方法,这是根据 TriPM 量表的开发方式、它们旨在服务的目的以及越来越多的支持其构念效度的证据。我们主要关注三个要点:(1)TriPM 量表是基于项目的因素量表,即旨在索引更大的多尺度(父)量表中广泛因素的项目集;(2)项目水平的结构分析可以用于表示这些量表所涵盖的广泛维度,但不能期望它能准确反映其母量表评估的较窄的子维度(方面);(3)在评估 TriPM 量表(和其他三因素量表)作为三因素模型结构的操作性定义的有效性时,考虑其关联性网络至关重要。我们通过应用 Roy 等人的分析方法来评估 NEO-FFI 的特质量表,来说明前两个要点,这些量表旨在索引多尺度 NEO-PI-R 的广泛人格维度。我们参考了越来越多的文献,这些文献支持 TriPM 量表的构念效度,并展示了它们在推进对精神病态的综合理解方面的效用。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

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