Abstract
Objective
The aim of this paper is to study the measurement of the DSM5 self-rated transversal symptoms level 1 (CCSM1) from a dimensional perspective in line with current models of psychopathology in three factors: internalization, thought disorders, externalization.
Method
Based on the 670 non-clinical protocols we collected, we verified that the VSS is composed of three factors. We studied the 3-factor composition with half of the sample and confirmed this composition with the other half. To show that these three factors were more relevant than the original 13 dimensions, we compared the results to three clinical groups and, after a cluster analysis, we investigated the intensity and frequency of people at risk across the original dimensions.
Results
While the 13 initial dimensions of the CCSM1 do not completely differentiate this sample from the clinical groups, the three high-order dimensions are discriminating. Clustering confirms these results when comparing the least and most affected subjects and allows us to see that these three HODs have significant impacts on the observation of cases at risk of clinical disorders in this non-clinical sample.
Discussion
To be further validated, these three HODs should be studied in relation to tools that assess internalization, thought disorders or externalization.
The aim of this paper is to study the measurement of the DSM5 self-rated transversal symptoms level 1 (CCSM1) from a dimensional perspective in line with current models of psychopathology in three factors: internalization, thought disorders, externalization.
Method
Based on the 670 non-clinical protocols we collected, we verified that the VSS is composed of three factors. We studied the 3-factor composition with half of the sample and confirmed this composition with the other half. To show that these three factors were more relevant than the original 13 dimensions, we compared the results to three clinical groups and, after a cluster analysis, we investigated the intensity and frequency of people at risk across the original dimensions.
Results
While the 13 initial dimensions of the CCSM1 do not completely differentiate this sample from the clinical groups, the three high-order dimensions are discriminating. Clustering confirms these results when comparing the least and most affected subjects and allows us to see that these three HODs have significant impacts on the observation of cases at risk of clinical disorders in this non-clinical sample.
Discussion
To be further validated, these three HODs should be studied in relation to tools that assess internalization, thought disorders or externalization.
Original language | English |
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Pages (from-to) | 1-8 |
Number of pages | 8 |
Journal | L'Encephale |
Early online date | 22 Dec 2023 |
DOIs | |
Publication status | Published - 2023 |
Keywords
- DSM 5 self-rated level 1 cross-cutting
- symptoms measure
- Dimensional paradigm
- luster analysis
- Cluster analysis
- Odds ratio
- factor analysis
- Non-clinical sample