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The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient

James, Richard J.E.; Dubey, Indu; Smith, Danielle; Ropar, Danielle; Tunney, Richard J.

Authors

Indu Dubey

Danielle Smith

Richard J. Tunney



Abstract

Autistic traits are widely thought to operate along a continuum. A taxometric analysis of Adult Autism Spectrum Quotient data was conducted to test this assumption, finding little support but identifying a high severity taxon. To understand this further, latent class and latent profile models were estimated that indicated the presence of six distinct subtypes: one with little probability of endorsing any autistic traits, one engaging in ‘systemising’ behaviours, three groups endorsing multiple components of Wing and Gould’s autistic triad, and a group similar in size and profile the taxon previously identified. These analyses suggest the AQ (and potentially by extension autistic traits) have a categorical structure. These findings have important implications for the analysis and interpretation of AQ data.

Citation

James, R. J., Dubey, I., Smith, D., Ropar, D., & Tunney, R. J. (2016). The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient. Journal of Autism and Developmental Disorders, 46(12), 3712-3728. https://doi.org/10.1007/s10803-016-2897-z

Journal Article Type Article
Acceptance Date Aug 15, 2016
Online Publication Date Sep 12, 2016
Publication Date 2016-12
Deposit Date Aug 23, 2016
Publicly Available Date Mar 29, 2024
Journal Journal of Autism and Developmental Disorders
Print ISSN 0162-3257
Electronic ISSN 1573-3432
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 46
Issue 12
Pages 3712-3728
DOI https://doi.org/10.1007/s10803-016-2897-z
Keywords Autism Quotient; autistic traits; taxometric analysis; latent class analysis; latent structure analysis; nosology
Public URL https://nottingham-repository.worktribe.com/output/818221
Publisher URL http://link.springer.com/article/10.1007%2Fs10803-016-2897-z

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