NDLI: Are We Under-Estimating the Association Between Autism Symptoms?: The Importance of Considering Simultaneous Selection When Using Samples of Individuals Who Meet Diagnostic Criteria for an Autism Spectrum Disorder

Content Provider	Springer Nature Link
Author	Murray, Aja Louise McKenzie, Karen Kuenssberg, Renate O’Donnell, Michael
Copyright Year	2014
Abstract	The magnitude of symptom inter-correlations in diagnosed individuals has contributed to the evidence that autism spectrum disorders (ASD) is a fractionable disorder. Such correlations may substantially under-estimate the population correlations among symptoms due to simultaneous selection on the areas of deficit required for diagnosis. Using statistical simulations of this selection mechanism, we provide estimates of the extent of this bias, given different levels of population correlation between symptoms. We then use real data to compare domain inter-correlations in the Autism Spectrum Quotient, in those with ASD versus a combined ASD and non-ASD sample. Results from both studies indicate that samples restricted to individuals with a diagnosis of ASD potentially substantially under-estimate the magnitude of association between features of ASD.
Starting Page	2921
Ending Page	2930
Page Count	10
File Format	PDF
ISSN	01623257
Journal	Journal of Autism and Developmental Disorders
Volume Number	44
Issue Number	11
e-ISSN	15733432
Language	English
Publisher	Springer US
Publisher Date	2014-06-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Autism spectrum disorder Range restriction Fractionable triad Simultaneous selection Sampling Child and School Psychology Pediatrics Neurosciences Public Health
Content Type	Text
Resource Type	Article
Subject	Developmental and Educational Psychology

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