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02-01-2021 | Original Paper

Testing the Latent Structure of the Autism Spectrum Quotient in a Sub-clinical Sample of University Students Using Factor Mixture Modelling

Auteurs: Craig Leth-Steensen, Elena Gallitto, Kojo Mintah, Shelley Elizabeth Parlow

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 10/2021

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Abstract

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.
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Metagegevens
Titel
Testing the Latent Structure of the Autism Spectrum Quotient in a Sub-clinical Sample of University Students Using Factor Mixture Modelling
Auteurs
Craig Leth-Steensen
Elena Gallitto
Kojo Mintah
Shelley Elizabeth Parlow
Publicatiedatum
02-01-2021
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 10/2021
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-020-04823-7