Development and pilot validation of a sensory reactivity scale for adults with high functioning autism spectrum conditions: Sensory Reactivity in Autism Spectrum (SR-AS).

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Title: Development and pilot validation of a sensory reactivity scale for adults with high functioning autism spectrum conditions: Sensory Reactivity in Autism Spectrum (SR-AS).
Authors: Elwin, Marie (AUTHOR), Schröder, Agneta (AUTHOR), Ek, Lena (AUTHOR), Kjellin, Lars (AUTHOR)
Source: Nordic Journal of Psychiatry. Feb2016, Vol. 70 Issue 2, p103-110. 8p.
Subjects: Sensory evaluation, Autism spectrum disorders, Psychometrics, Trait intercorrelations, Confirmatory factor analysis
Abstract: Background:Unusual reactions to sensory stimuli are experienced by 90–95% of people with an autism spectrum condition (ASC). Self-reported sensory reactivity in ASC has mainly been measured with generic questionnaires developed and validated on data from the general population. Interest in sensory reactivity in ASC increased after the inclusion of hyper- and hypo-reactivity together with unusual sensory interest as diagnostic markers of ASC in the DSM-5.Aims: To develop and pilot validate a self-report questionnaire designed from first-hand descriptions of the target group of adults diagnosed with high functioning ASC. Psychometric properties of the questionnaire were evaluated on a sample of participants with ASC diagnoses (N= 71) and a random sample from the general population (N= 162).Results: The Sensory Reactivity in Autism Spectrum (SR-AS is intended to be used as a screening tool in diagnostic processes with adults and for support in adapting compensating strategies and environmental adjustments. The internal consistency was high for both the SR-AS and its subscales. The total scale Cronbach's alpha was 0.96 and the subscales alphas were ≥ 0.80. Confirmatory factor analysis (CFA) showed best fit for a four-factor model of inter-correlated factors: hyper and hypo-reactivity, strong sensory interest and a sensory/motor factor. The questionnaire discriminated well between ASC-diagnosed participants and participants from the general population.Conclusions: The SR-AS displayed good internal consistency and discriminatory power and promising factorial validity. [ABSTRACT FROM PUBLISHER]
Copyright of Nordic Journal of Psychiatry is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: Development and pilot validation of a sensory reactivity scale for adults with high functioning autism spectrum conditions: Sensory Reactivity in Autism Spectrum (SR-AS).
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Elwin%2C+Marie%22">Elwin, Marie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schröder%2C+Agneta%22">Schröder, Agneta</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ek%2C+Lena%22">Ek, Lena</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kjellin%2C+Lars%22">Kjellin, Lars</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Nordic+Journal+of+Psychiatry%22">Nordic Journal of Psychiatry</searchLink>. Feb2016, Vol. 70 Issue 2, p103-110. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Sensory+evaluation%22">Sensory evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Autism+spectrum+disorders%22">Autism spectrum disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Trait+intercorrelations%22">Trait intercorrelations</searchLink><br /><searchLink fieldCode="DE" term="%22Confirmatory+factor+analysis%22">Confirmatory factor analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background:Unusual reactions to sensory stimuli are experienced by 90–95% of people with an autism spectrum condition (ASC). Self-reported sensory reactivity in ASC has mainly been measured with generic questionnaires developed and validated on data from the general population. Interest in sensory reactivity in ASC increased after the inclusion of hyper- and hypo-reactivity together with unusual sensory interest as diagnostic markers of ASC in the DSM-5.Aims: To develop and pilot validate a self-report questionnaire designed from first-hand descriptions of the target group of adults diagnosed with high functioning ASC. Psychometric properties of the questionnaire were evaluated on a sample of participants with ASC diagnoses (N= 71) and a random sample from the general population (N= 162).Results: The Sensory Reactivity in Autism Spectrum (SR-AS is intended to be used as a screening tool in diagnostic processes with adults and for support in adapting compensating strategies and environmental adjustments. The internal consistency was high for both the SR-AS and its subscales. The total scale Cronbach's alpha was 0.96 and the subscales alphas were ≥ 0.80. Confirmatory factor analysis (CFA) showed best fit for a four-factor model of inter-correlated factors: hyper and hypo-reactivity, strong sensory interest and a sensory/motor factor. The questionnaire discriminated well between ASC-diagnosed participants and participants from the general population.Conclusions: The SR-AS displayed good internal consistency and discriminatory power and promising factorial validity. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Nordic Journal of Psychiatry is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Feb2016
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