A Bifactor Model of the Autism Spectrum Disorder Phenotype.

Abstract:

:I read with interest the newly published work by Kim et al. describing the covariance structure of parent-reported autism spectrum disorder (ASD) symptoms.1 The authors compared many different latent class, factor analytic, and factor mixture models in a large, clinically referred sample, concluding that the ASD phenotype is best described by three continuous latent factors of social interaction, communication, and repetitive behavior. I found the study to be methodologically rigorous, employing robust estimation techniques, testing a wide range of categorical-dimensional hybrid models, and even replicating the rank-order of model choices in a separate sample. However, given the large reported interfactor correlations in the final model (r = 0.78-0.83; Kim et al., Figure 2), I was disappointed that the authors did not explore a bifactor model2 of ASD phenotypic traits. In this correspondance, I aim to demonstrate the ways in which bifactor models provide further insight into the structures of complex psychopathological constructs.

authors

Williams ZJ

doi

10.1016/j.jaac.2019.02.021

subject

Has Abstract

pub_date

2019-10-01 00:00:00

pages

1019-1021

issue

10

eissn

0890-8567

issn

1527-5418

pii

S0890-8567(19)30318-1

journal_volume

58

pub_type

评论,信件
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