| Title |
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
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, June 2014
|
| DOI | 10.1007/s10803-014-2154-2 |
| Pubmed ID | |
| Authors |
Aja Louise Murray, Karen McKenzie, Renate Kuenssberg, Michael O’Donnell |
| 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Comoros | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 43 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Student > Master | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Postgraduate | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 10 | 22% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 31% |
| Social Sciences | 6 | 13% |
| Medicine and Dentistry | 4 | 9% |
| Computer Science | 2 | 4% |
| Arts and Humanities | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 12 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 June 2015.
All research outputs
#16,188,009
of 23,867,274 outputs
Outputs from Journal of Autism and Developmental Disorders
#4,003
of 5,240 outputs
Outputs of similar age
#136,627
of 231,378 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#49
of 59 outputs
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