Testing the Latent Structure of the Autism Spectrum Quotient in a Sub-clinical Sample of University Students Using Factor Mixture Modelling / C. LETH-STEENSEN in Journal of Autism and Developmental Disorders, 51-10 (October 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-10 (October 2021) . - p.3722-3732 Titre : Testing the Latent Structure of the Autism Spectrum Quotient in a Sub-clinical Sample of University Students Using Factor Mixture Modelling Type de document : Texte imprimé et/ou numérique Auteurs : C. LETH-STEENSEN, Auteur ; E. GALLITTO, Auteur ; K. MINTAH, Auteur ; S. E. PARLOW, Auteur Article en page(s) : p.3722-3732 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Humans  Students  Universities  Autism-spectrum quotient  Autistic traits  Factor mixture models  Latent class analysis  Sub-clinical population Index. décimale : PER Périodiques Résumé : In the present study, factor mixture models (FMMs) were used to examine the latent structure underlying the Autism-Spectrum Quotient (AQ) among a sample of 633 undergraduate students. FMM represents a combination of latent-class, person-centered approaches and common-factor, variable-centered approaches to modeling population heterogeneity. Findings suggest the presence of either two or six latent classes with distinct profiles across the set of 50 AQ items. In addition, within each class, individuals can be further differentiated according to their scores on five latent factors. These results suggest the presence of phenotypical heterogeneity at the sub-clinical level in addition to that which is known to exist at the clinical level. En ligne : http://dx.doi.org/10.1007/s10803-020-04823-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453 [article] Testing the Latent Structure of the Autism Spectrum Quotient in a Sub-clinical Sample of University Students Using Factor Mixture Modelling [Texte imprimé et/ou numérique] / C. LETH-STEENSEN, Auteur ; E. GALLITTO, Auteur ; K. MINTAH, Auteur ; S. E. PARLOW, Auteur . - p.3722-3732. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-10 (October 2021) . - p.3722-3732 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Humans  Students  Universities  Autism-spectrum quotient  Autistic traits  Factor mixture models  Latent class analysis  Sub-clinical population Index. décimale : PER Périodiques Résumé : In the present study, factor mixture models (FMMs) were used to examine the latent structure underlying the Autism-Spectrum Quotient (AQ) among a sample of 633 undergraduate students. FMM represents a combination of latent-class, person-centered approaches and common-factor, variable-centered approaches to modeling population heterogeneity. Findings suggest the presence of either two or six latent classes with distinct profiles across the set of 50 AQ items. In addition, within each class, individuals can be further differentiated according to their scores on five latent factors. These results suggest the presence of phenotypical heterogeneity at the sub-clinical level in addition to that which is known to exist at the clinical level. En ligne : http://dx.doi.org/10.1007/s10803-020-04823-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453

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