Abstract
Recently, structural models of psychopathology, that address the diagnostic stability and comorbidity issues of the traditional nosological approach, have dominated much of the psy-chopathology literature. Structural approaches have given rise to the p-factor, which is claimed to reflect an individual’s propensity toward all common psychopathological symptoms. Neurocognitive abilities are argued to be important to the development and maintenance of a wide range of disorders, and have been suggested as an important driver of the p-factor. However, recent evidence argues against p being an interpretable substantive construct, limiting conclusions that can be drawn from associations between p, the specific factors of a psychopathology model, and neurocognitive abilities. Here, we argue for the use of the S-1 bifactor approach, where the general factor is defined by neurocognitive abilities, to explore the association between neurocognitive performance and a wide range of psychopathological symptoms. We use simulation techniques to give examples of how S-1 bifactor models can be used to examine this relationship, and how the results can be interpreted.
| Original language | English |
|---|---|
| Article number | 7413 |
| Number of pages | 15 |
| Journal | International Journal of Environmental Research and Public Health |
| Volume | 18 |
| Issue number | 14 |
| DOIs | |
| Publication status | Published - Jul 2021 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Bifactor
- CFA
- Executive functioning
- Intelligence
- IQ
- Neurocognition
- P-factor
- Psychopathology
- S-1
- S-1 bifactor
- Simulation
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