Department of Psychological Sciences.
Personal Disord. 2021 Mar;12(2):103-114. doi: 10.1037/per0000457. Epub 2020 Sep 10.
Common factors are increasingly used to model the structure of psychopathology (""), personality (General Factor of Personality [GFP]), pathological personality (General Factor of Pathological Personality [GFPP]), and intelligence (""). Using 4 waves spanning ages 18-29 in a cohort of college students (baseline = 489), this study used indicators of psychopathology, personality, pathological personality, and cognitive functioning to compare models that included Cognitive Functioning, , GFP, GFPP, and a "Big Everything" factor (which included cross-domain measures as indicators). GFP, GFPP, and 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. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
共同因素越来越多地被用于构建精神病理学("")、人格(人格的一般因素[GFP])、病态人格(病态人格的一般因素[GFPP])和智力("")的结构模型。本研究使用了 4 波横跨 18-29 岁的大学生队列数据(基线 = 489),采用精神病理学、人格、病态人格和认知功能的指标,比较了包含认知功能、、GFP、GFPP 和一个“大综合”因素(将跨领域的测量指标作为指标)的模型。GFP、GFPP 和 表现出显著的重叠,而大综合因素则解释了精神病理学、人格和病态人格指标的大量差异。只有一项认知功能的自评测量显著加载到大综合因素上。本研究强调了在基于剩余方差的建模和使用因素建模来确定心理相关现象的结构的局限性来识别和具体化共同因素方面存在的问题。(《心理科学信息数据库》记录(c)2021 APA,保留所有权利)。