Further evidence for the bidimensionality of the components model of addiction: a reply to Amendola (2023)
Détails
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Accès restreint UNIL
Etat: Public
Version: Final published version
Licence: Non spécifiée
Accès restreint UNIL
Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_3A0E30265CD0
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Further evidence for the bidimensionality of the components model of addiction: a reply to Amendola (2023)
Périodique
Addictive Behaviors
ISSN
0306-4603
Statut éditorial
Publié
Date de publication
2024
Peer-reviewed
Oui
Volume
150
Pages
107914
Langue
anglais
Résumé
In our original research article entitled “Deconstructing the components model of addiction: an illustration through “addictive” use of social media” (Fournier et al., 2023), we showed that the Bergen Social Media Addiction Scale, a six-item psychometric instrument derived from the components model of addiction to assess social media “addiction”, did not form a unitary, but a bidimensional construct in which some components (i.e., salience, tolerance) were not associated with psychopathological symptoms, thus conflating central and peripheral features of addiction. Subsequently, in a recent commentary, Amendola (2023) sought to determine whether our findings were driven by the use of data aggregated from multiple independent datasets, i.e., a decision we transparently acknowledged as a limitation in our original research article. Following their re-analysis, Amendola (2023) claimed to have demonstrated that a unidimensional model best fitted the data. However, they only reported results for a partial set of models relevant to this investigation. In the present reply, through a transparent assessment and reporting of all unidimensional and bidimensional models relevant to this investigation, we show that the bidimensionality of the Bergen Social Media Addiction Scale is, in fact, tenable, robust, and consistent across multiple independent datasets. In line with the growing evidence demonstrating that many sets of criteria involved in operationalizing behavioral addictions pathologize involvement in appetitive behaviors, these results highlight the necessity to renew the conceptualization and assessment of behavioral addictions.
Mots-clé
Behavioral addiction, Components model, Network analysis, Social media use, Structural equation modeling
Pubmed
Web of science
Financement(s)
Fonds national suisse / P000PS_211887
Création de la notice
24/11/2023 9:13
Dernière modification de la notice
10/01/2024 7:16