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

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

Journal of Autism and Developmental Disorders（2021）SCI 3区

Carleton University | University of Ottawa | York University

Cited 6|Views1

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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Key words

Factor mixture models,Autism-spectrum quotient,Sub-clinical population,Autistic traits,Latent class analysis

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