<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Bayesian Network Structure and Predictability of Autistic Traits

descriptionPublicationkeyboard_double_arrow_right Article 07 Nov 2020 Belgium, Netherlands English Publisher:SAGE PublicationsJournal:Psychological Reports, volume 125, pages 344-357 (issn: 0033-2941, eissn: 1558-691X,

Authors: Giovanni Briganti; Donald R. Williams; Joris Mulder; Paul Linkowski;

doi: 10.1177/0033294120978159 , 10.31234/osf.io/83epj

pmid: 33283664

handle: 2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/316698

Bayesian Network Structure and Predictability of Autistic Traits

- Summary
- Subjects
- Related research
  (2)
- Metrics

Abstract

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.

Countries

Belgium, Netherlands

Related Organizations

Tilburg University
University of California, Davis
United States
Université Libre de Bruxelles
Belgium
Tilbury University
Netherlands
University of California System
United States

View all View all

Keywords

Male, DISORDERS, Autism, FUNCTIONING AUTISM, Physiopsychologie et psychologie biologique [psychiatrie], Surveys and Questionnaires, Humans, Autistic Disorder, Students, VERSION, network analysis, POPULATION, ASPERGER-SYNDROME, Sex Characteristics, students, MEDIAL PREFRONTAL CORTEX, Médecine pathologie humaine, SPECTRUM QUOTIENT AQ, Bayes Theorem, Sciences bio-médicales et agricoles, Psychologie, FMRI, RELIABILITY, Female

2 Research products, page of 1

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average