On the Meaning of the "P Factor" in Symmetrical Bifactor Models of Psychopathology: Recommendations for Future Research From the Bifactor-(S-1) Perspective.
On the Meaning of the "P Factor" in Symmetrical Bifactor Models of Psychopathology: Recommendations for Future Research From the Bifactor-(S-1) Perspective.
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DOI：
10.1177/10731911211060298
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发表时间：
2023-04
期刊：
影响因子：
3.8
通讯作者：
Knaevelsrud, Christine
中科院分区：
文献类型：
--
作者：
Heinrich, Manuel;Geiser, Christian;Zagorscak, Pavle;Burns, G. Leonard;Bohn, Johannes;Becker, Stephen P.;Eid, Michael;Beauchaine, Theodore P.;Knaevelsrud, Christine
关键词：
对称双因子模型经常应用于精神病理学的各种症状，以确定一个一般的P因子。该因素被认为标志着所有精神病理学维度和精神障碍的共同责任。尽管它们的流行，但是，对称双因子模型的P经常产生异常的结果，包括但不限于非显着或负的特定因子方差和非显着或负的因子负荷。到目前为止，这些异常现象往往被当作麻烦事来解释。在这篇文章中，我们证明了为什么这些异常改变了P的实质意义，使它（a）不反映一般的精神病理学责任和（B）在不同的研究意义不同。然后，我们描述了另一种建模框架，双因子-（S-1）方法。这种方法避免了异常的结果，提供了一个框架来解释意外的发现在已发表的对称双因素的研究，并产生一个定义明确的一般因素，可以跨研究进行比较时，研究人员假设什么样的结构，他们认为“transdiagnositically有意义的”，并直接测量它。我们提出了一个实证的例子来说明这些点，并提供具体的建议，以帮助研究人员决定支持或反对双因子结构的特定变体。
Symmetrical bifactor models are frequently applied to diverse symptoms of psychopathology to identify a general P factor. This factor is assumed to mark shared liability across all psychopathology dimensions and mental disorders. Despite their popularity, however, symmetrical bifactor models of P often yield anomalous results, including but not limited to nonsignificant or negative specific factor variances and nonsignificant or negative factor loadings. To date, these anomalies have often been treated as nuisances to be explained away. In this article, we demonstrate why these anomalies alter the substantive meaning of P such that it (a) does not reflect general liability to psychopathology and (b) differs in meaning across studies. We then describe an alternative modeling framework, the bifactor-(S−1) approach. This method avoids anomalous results, provides a framework for explaining unexpected findings in published symmetrical bifactor studies, and yields a well-defined general factor that can be compared across studies when researchers hypothesize what construct they consider “transdiagnostically meaningful” and measure it directly. We present an empirical example to illustrate these points and provide concrete recommendations to help researchers decide for or against specific variants of bifactor structure.
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影响因子：
3.6
作者：
Burns GL;Geiser C;Servera M;Becker SP;Beauchaine TP
通讯作者：
Beauchaine TP
影响因子：
4.8
作者：
Brandes, Cassandra M.;Herzhoff, Kathrin;Tackett, Jennifer L.
通讯作者：
Tackett, Jennifer L.
影响因子：
7
作者：
Bollen KA;Bauldry S
通讯作者：
Bauldry S
DOI：
10.1080/10705511.2012.687658
发表时间：
2012-01-01
影响因子：
6
作者：
Geiser, Christian;Eid, Michael;Nussbeck, Fridtjof W.
通讯作者：
Nussbeck, Fridtjof W.
影响因子：
6.9
作者：
Carragher, N.;Teesson, M.;Slade, T.
通讯作者：
Slade, T.