Psychometric Properties of the Externalizing Spectrum Inventory:Replication and Extension across Clinical and Non-Clinical Samples

The Externalizing Spectrum Inventory aims at assessing personality features that underlie externalizing disorders such as substance abuse and antisocial behaviors. The objective was to replicate the psychometric properties of the 160-item Externalizing Spectrum Inventory in Dutch clinical and non-clinical samples. First, Cronbach's alpha, test-retest reliability and the factor structure were analyzed on a mixed sample of inpatients (n = 149), undergraduates (n = 227), and community participants (n = 178). The factor structure was evaluated through confirmatory and exploratory factor analyses; for the latter Parallel Analysis was used, based on Minimum Rank Factor Analysis. Next, the criterion validity was analyzed using the Aggression Questionnaire and the NEO-Five Factor Inventory as external measures. The Dutch Externalizing Spectrum Inventory subscales showed sufficient reliability (α=.68-.94; ICC=.68-.91), except in the undergraduate sample (α=.49-.96; ICC=.43-.97). The factor structure of the Externalizing Spectrum Inventory was not confirmed and the exploratory analysis yielded different factor solutions across samples. The criterion validity was supported with regard to trait aggression and partly supported with regard to the Five Factor Model. The results suggest that the ESI-160 and its original factor model can be used for prediction purposes. However, further research of the factor structure is strongly recommended

The generalizability of the structure of substance abuse and antisocial behavioral syndromes:A systematic review

Background: Although several authors have suggested that a single externalizing spectrum encompassing both antisocial behavioral syndromes and substance use disorder is to be preferred, this assumption has not been evaluated systematically throughout studies. Purpose: The objective was to establish the generalizability of transdiagnostic models of externalizing disorders across different types of disorders and populations, in regard to the strength of the evidence. Method: We conducted a systematic literature review using combinations of two sets of keywords: 1) "antisocial", "externalizing", "conduct disorder", "disruptive behavior disorder", "substance abuse", "substance-related disorder", "cannabis", "cocaine", "hallucinogen", "alcoholism", "opioid"; 2) "latent structure", "factor analysis", "multivariate analysis". Results: Models supporting a superordinate factor appeared dominant in a limited set of different populations, on which the majority of the research sample was focused. Conclusions: Although the externalizing spectrum model is a promising angle for future research and treatment, extending research on this model in a higher diversity of populations is recommended to enhance the understanding and applicability of the externalizing spectrum model