Autistic Disorder; Bayes Theorem; Female; Humans; Male; Sex Characteristics; Students; Surveys and Questionnaires; Autism; network analysis; students
Abstract :
[en] The aim of this work is to explore the construct of autistic traits through the lens of network analysis with recently introduced Bayesian methods. A conditional dependence network structure was estimated from a data set composed of 649 university students that completed an autistic traits questionnaire. The connectedness of the network is also explored, as well as sex differences among female and male subjects in regard to network connectivity. The strongest connections in the network are found between items that measure similar autistic traits. Traits related to social skills are the most interconnected items in the network. Sex differences are found between female and male subjects. The Bayesian network analysis offers new insight on the connectivity of autistic traits as well as confirms several findings in the autism literature.
Disciplines :
Psychiatry
Author, co-author :
Briganti, Giovanni ; Université de Mons - UMONS > Faculté de Médecine et de Pharmacie > Service de Neurosciences ; ORCID: 0000-0002-4038-3363 ; Unit of Epidemiology, Biostatistics, and Clinical Research, Université libre de
Williams, Donald R; Department of Psychology, University of California, Davis, CA, USA.
Mulder, Joris; Department of Methodology and Statistics, 7899Tilburg University, Tilburg, the
Linkowski, Paul; Université libre de Bruxelles, Brussels, Belgium.
Language :
English
Title :
Bayesian Network Structure and Predictability of Autistic Traits.
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