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A machine learning approach to relationships among alexithymia components

par Briganti, Giovanni ;Scutari, Marco;Linkowski, Paul
Référence Psychiatria Danubina, 32, page (S180-S187)
Publication Publié, 2020-11-01

Article révisé par les pairs

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Résumé :

Background: The aim of this paper is to explore the network structures of alexithymia components and compare results with relevant prior literature. Subjects and methods: In a large sample of university students, undirected and directed network structures of items from the Bermond Vorst Alexithymia Questionnaire form B are estimated with state-of-the-art network analysis and structure learning tools. Centrality estimates are used to address the topic of item redundancy and select relevant alexithymia components to study. Results: Alexithymia components present positive as well as negative connections; poor fantasy and emotional insight are identified as central items in the network. Conclusions: The undirected network structure of alexithymia components reports new features with respect to prior literature, and the directed network structures offers new insight on the construct.