The "Big Everything": Integrating and investigating dimensional models of psychopathology, personality, personality pathology, and cognitive functioning.
The "Big Everything": Integrating and investigating dimensional models of psychopathology, personality, personality pathology, and cognitive functioning.
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DOI：
10.1037/per0000457
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
Sher KJ
中科院分区：
文献类型：
--
作者：
Littlefield AK;Lane SP;Gette JA;Watts AL;Sher KJ
共同因素越来越多地被用于精神病理学(p)、人格（人格一般因素[GFP]）、病理人格（病理人格一般因素[GFPP]）和智力(g)的结构建模。在18-29岁的大学生队列中（基线n = 489），本研究使用心理病理学、人格、病态人格和认知功能指标来比较包括认知功能、p、GFP、GFPP和“大一切”因素（包括跨域测量作为指标）的模型。GFP、GFPP和p表现出大量重叠，Big Everything因子在精神病理学、人格和病理人格指标上占相当大的差异。只有一项自我报告的认知功能测量显著地加载到“大一切”上。本研究强调了在残差方差建模的基础上寻求识别和具体化共同因素的关注，以及使用因素建模来确定心理相关现象结构的局限性。
Common factors are increasingly used to model the structure of psychopathology (“p”), personality (General Factor of Personality [GFP]), pathological personality (General Factor of Pathological Personality [GFPP]), and intelligence (“g”). Using 4 waves spanning ages 18–29 in a cohort of college students (baseline n = 489), this study used indicators of psychopathology, personality, pathological personality, and cognitive functioning to compare models that included Cognitive Functioning, p, GFP, GFPP, and a “Big Everything” factor (which included cross-domain measures as indicators). GFP, GFPP, and p exhibited substantial overlap, and the Big Everything factor accounted for considerable variance in psychopathology, personality, and pathological personality indicators. Only a self-report measure of cognitive functioning loaded significantly onto the Big Everything. This study highlights concerns in the pursuit of identifying and reifying common factors based on the modeling of residual variances and limitations of using factor modeling to determine the structure of psychologically relevant phenomena.
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