Title |
Comprehensive Comparison of Self-administered Questionnaires for Measuring Quantitative Autistic Traits in Adults
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Published in |
Journal of Autism and Developmental Disorders, December 2013
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DOI | 10.1007/s10803-013-2020-7 |
Pubmed ID | |
Authors |
Takeshi Nishiyama, Masako Suzuki, Katsunori Adachi, Satoshi Sumi, Kensuke Okada, Hirohisa Kishino, Saeko Sakai, Yoko Kamio, Masayo Kojima, Sadao Suzuki, Stephen M. Kanne |
Abstract |
We comprehensively compared all available questionnaires for measuring quantitative autistic traits (QATs) in terms of reliability and construct validity in 3,147 non-clinical and 60 clinical subjects with normal intelligence. We examined four full-length forms, the Subthreshold Autism Trait Questionnaire (SATQ), the Broader Autism Phenotype Questionnaire, the Social Responsiveness Scale2-Adult Self report (SRS2-AS), and the Autism-Spectrum Quotient (AQ). The SRS2-AS and the AQ each had several short forms that we also examined, bringing the total to 11 forms. Though all QAT questionnaires showed acceptable levels of test-retest reliability, the AQ and SRS2-AS, including their short forms, exhibited poor internal consistency and discriminant validity, respectively. The SATQ excelled in terms of classical test theory and due to its short length. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 56% |
Belgium | 1 | 11% |
Canada | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 56% |
Science communicators (journalists, bloggers, editors) | 2 | 22% |
Scientists | 2 | 22% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
United Kingdom | 1 | <1% |
Unknown | 160 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 23% |
Researcher | 19 | 12% |
Student > Doctoral Student | 19 | 12% |
Student > Master | 18 | 11% |
Student > Bachelor | 16 | 10% |
Other | 25 | 15% |
Unknown | 29 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 73 | 45% |
Medicine and Dentistry | 14 | 9% |
Social Sciences | 14 | 9% |
Neuroscience | 11 | 7% |
Computer Science | 4 | 2% |
Other | 14 | 9% |
Unknown | 34 | 21% |