Assessing Callous-Unemotional Traits Across Early Adolescence: Further Evaluation of Short Versions.
Giuseppe CorbelliValentina LevantiniPietro MuratoriVincenzo Paolo SeneseCarmela BravaccioSimone PisanoGennaro CatoneMarinella PacielloPublished in: Child psychiatry and human development (2024)
Literature on the Inventory of Callous-Unemotional (ICU) traits has suggested different versions of the instrument for assessing these traits during development. However, consensus on the instrument version and the best factorial solution remains a matter of debate, with only a few studies having validated ICU versions from a longitudinal perspective. The current study aims to contribute to the literature by comparing ICU models in a longitudinal sample of early adolescents (N = 739; 70.6% of eligible subjects, 371 females and 368 males, in the 6th grade at baseline assessment and in the 8th grade at the second assessment). We tested the validity of various versions of the ICU scales and their respective dimensions by conducting a series of confirmatory factor analyses to verify the factor structure, alongside assessments of internal consistency. For the best-fitting structure, we then analyzed gender and longitudinal invariance in addition to construct and predictive validity, using internalizing and externalizing criteria as well as prosocial behavior. From the comparative analysis, it emerged that the abbreviated 11-item ICU scale version displayed overall better data fit than the full 24-item version. Moreover, its confirmed gender invariance underscores its applicability across genders within the studied age group. With regard to longitudinal invariance, our findings advise caution when comparing ICU scores across early adolescence. Practical implications are discussed.
Keyphrases
- intensive care unit
- psychometric properties
- mechanical ventilation
- systematic review
- depressive symptoms
- genome wide
- young adults
- physical activity
- gene expression
- cross sectional
- acute respiratory distress syndrome
- electronic health record
- big data
- dna methylation
- deep learning
- extracorporeal membrane oxygenation