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dc.contributor.authorJames, R.J.E.
dc.contributor.authorSmith, D.
dc.contributor.authorRopar, D.
dc.contributor.authorTunney, R.J.
dc.date.accessioned2019-06-05T11:51:09Z
dc.date.available2019-06-05T11:51:09Z
dc.date.issued2016-09-12
dc.identifier.citationJames, R.J.E., 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), pp. 3712–3728.en
dc.identifier.issn0162-3257
dc.identifier.urihttps://www.dora.dmu.ac.uk/handle/2086/17935
dc.descriptionopen access articleen
dc.description.abstractAutistic 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 to 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.en
dc.language.isoenen
dc.publisherSpringeren
dc.subjectAutism quotienten
dc.subjectAutistic traitsen
dc.subjectTaxometric analysisen
dc.subjectLatent class analysisen
dc.subjectLatent structure analysisen
dc.subjectNosologyen
dc.titleThe latent structure of autistic traits: A taxometric, latent class and latent profile analysis of the adult autism spectrum quotienten
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1007/s10803-016-2897-z
dc.peerreviewedYesen
dc.funderESRC (Economic and Social Research Council)en
dc.projectidES/J500100/1en
dc.projectidEP/G037574/1en
dc.cclicenceCC-BY-NCen
dc.exception.ref2021codes254aen
dc.funder.otherEngineering and Physical Sciences Research Councilen


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