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The general factor of psychopathology (p): Choosing among competing models and interpreting p.

作者信息

Caspi Avshalom, Houts Renate M, Fisher Helen L, Danese Andrea, Moffitt Terrie E

机构信息

Department of Psychology & Neuroscience, Duke University.

PROMENTA, Department of Psychology, University of Oslo.

出版信息

Clin Psychol Sci. 2024 Jan;12(1):53-82. doi: 10.1177/21677026221147872. Epub 2023 May 3.


DOI:10.1177/21677026221147872
PMID:38236494
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10794018/
Abstract

Over the past 10 years, the general factor of psychopathology, p, has attracted interest and scrutiny. We review the history of the idea that all mental disorders share something in common, p; how we arrived at this idea; and how it became conflated with a statistical representation, the Bi-Factor Model. We then leverage the Environmental Risk (E-Risk) longitudinal twin study to examine the properties and nomological network of different statistical representations of p. We find that p performed similarly regardless of how it was modelled, suggesting that if the sample and content are the same the resulting p factor will be similar. We suggest that the meaning of p is not to be found by dueling over statistical models but by conducting well-specified criterion-validation studies and developing new measurement approaches. We outline new directions to refresh research efforts to uncover what all mental disorders have in common.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5639/10798874/3e82ac86628a/10.1177_21677026221147872-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5639/10798874/6317f3907f74/10.1177_21677026221147872-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5639/10798874/6ab5e63ab0f5/10.1177_21677026221147872-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5639/10798874/3e82ac86628a/10.1177_21677026221147872-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5639/10798874/6317f3907f74/10.1177_21677026221147872-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5639/10798874/6ab5e63ab0f5/10.1177_21677026221147872-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5639/10798874/3e82ac86628a/10.1177_21677026221147872-fig3.jpg

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本文引用的文献

[1]
Empirical support for a dual process model of the p-factor: Interaction effects between preschool executive control and preschool negative emotionality on general psychopathology.

J Psychopathol Clin Sci. 2022-11

[2]
Translating the hierarchical taxonomy of psychopathology (HiTOP) from potential to practice: Ten research questions.

Am Psychol. 2023-10

[3]
No probifactor model fit index bias, but a propensity toward selecting the best model.

J Psychopathol Clin Sci. 2022-8

[4]
Defining the -factor: an empirical test of five leading theories.

Psychol Med. 2023-5

[5]
A Hierarchical Taxonomy of Psychopathology (HiTOP) Primer for Mental Health Researchers.

Clin Psychol Sci. 2022-3

[6]
Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis.

Nat Genet. 2022-5

[7]
Reliability and validity of bifactor models of dimensional psychopathology in youth.

J Psychopathol Clin Sci. 2022-5

[8]
Misbegotten methodologies and forgotten lessons from Tom Swift's electric factor analysis machine: A demonstration with competing structural models of psychopathology.

Psychol Methods. 2023-12

[9]
Soluble Urokinase Plasminogen Activator Receptor (suPAR) as a Biomarker of Systemic Chronic Inflammation.

Front Immunol. 2021

[10]
On the Meaning of the " Factor" in Symmetrical Bifactor Models of Psychopathology: Recommendations for Future Research From the Bifactor-(-1) Perspective.

Assessment. 2023-4

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