Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/26730
Title: Cluster analysis of autism spectrum disorder symptomatology: Qualitatively distinct subtypes or quantitative degrees of severity of a single disorder?
Contributor(s): Bitsika, Vicki  (author)orcid ; Arnold, Wayne M  (author); Sharpley, Christopher F  (author)orcid 
Publication Date: 2018-05
DOI: 10.1016/j.ridd.2018.03.006
Handle Link: https://hdl.handle.net/1959.11/26730
Abstract: The decision to collapse several related disorders into a single diagnosis of Autism SpectrumDisorder (ASD) generated significant controversy and debate. There has been mixed evidence asto whether various ASD subtypes are qualitatively distinct or if they exist on a spectrum ofsymptom severity. The present study conducted a two-step cluster analysis of major ASDsymptoms in a sample of 147 young males with ASD aged between 6yr and 18yr with IQ > 70.Results indicated that a two-cluster solution (high and low severity of ASD symptomatology) wasreliable and valid. Further, the construct of challenging behaviour was not a necessary compo-nent of the two-cluster solution, verifying the new conceptualisation of ASD. Further replicationof thesefindings with other subsets of individuals with ASD is needed.
Publication Type: Journal Article
Source of Publication: Research in Developmental Disabilities, v.76, p. 65-75
Publisher: Elsevier Ltd
Place of Publication: United Kingdom
ISSN: 1873-3379
0891-4222
Fields of Research (FoR) 2008: 110999 Neurosciences not elsewhere classified
Fields of Research (FoR) 2020: 320903 Central nervous system
Socio-Economic Objective (SEO) 2008: 920111 Nervous System and Disorders
Socio-Economic Objective (SEO) 2020: 200409 Mental health
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

Files in This Item:
1 files
File SizeFormat 
Show full item record

SCOPUSTM   
Citations

10
checked on Jun 15, 2024

Page view(s)

1,758
checked on Jun 16, 2024

Download(s)

6
checked on Jun 16, 2024
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.