A Machine Learning Approach to Relationships Among Alexithymia Components

Psychiatr Danub. 2020 Sep;32(Suppl 1):180-187.

Abstract

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.

MeSH terms

  • Affective Symptoms*
  • Emotions
  • Fantasy*
  • Humans
  • Machine Learning*
  • Surveys and Questionnaires