Developing a treatment for hand‐clapping maintained by automatic reinforcement using sensory analysis, noncontingent reinforcement, and thinning.

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Title: Developing a treatment for hand‐clapping maintained by automatic reinforcement using sensory analysis, noncontingent reinforcement, and thinning.
Authors: Slocum, Sarah K., Yatros, Nicolette, Scheithauer, Mindy
Source: Behavioral Interventions. Feb2021, Vol. 36 Issue 1, p228-241. 14p. 1 Chart, 3 Graphs.
Subjects: Treatment of autism, Senses, Psychology of movement, Reinforcement (Psychology), Behavior disorders
Abstract: Two subjects diagnosed with autism spectrum disorder and related disabilities who engaged in hand‐clapping maintained by automatic reinforcement participated in this study. We conducted a sensory analysis to evaluate matched stimuli that functioned as an abolishing operation or extinction for different sources of sensory reinforcement. Finally, we implemented noncontingent reinforcement (NCR) using the stimuli found to compete in the assessment to reduce the target behavior, and we thinned item availability. Results showed a decrease in hand‐clapping, and hand‐clapping remained low when we thinned the schedule of reinforcement. This research further elucidates how NCR can treat problem behavior maintained by automatic reinforcement. [ABSTRACT FROM AUTHOR]
Copyright of Behavioral Interventions is the property of Wiley-Blackwell 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.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Developing a treatment for hand‐clapping maintained by automatic reinforcement using sensory analysis, noncontingent reinforcement, and thinning.
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  Data: <searchLink fieldCode="JN" term="%22Behavioral+Interventions%22">Behavioral Interventions</searchLink>. Feb2021, Vol. 36 Issue 1, p228-241. 14p. 1 Chart, 3 Graphs.
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  Data: Two subjects diagnosed with autism spectrum disorder and related disabilities who engaged in hand‐clapping maintained by automatic reinforcement participated in this study. We conducted a sensory analysis to evaluate matched stimuli that functioned as an abolishing operation or extinction for different sources of sensory reinforcement. Finally, we implemented noncontingent reinforcement (NCR) using the stimuli found to compete in the assessment to reduce the target behavior, and we thinned item availability. Results showed a decrease in hand‐clapping, and hand‐clapping remained low when we thinned the schedule of reinforcement. This research further elucidates how NCR can treat problem behavior maintained by automatic reinforcement. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behavioral Interventions is the property of Wiley-Blackwell 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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        Value: 10.1002/bin.1749
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        Text: English
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      – SubjectFull: Senses
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      – SubjectFull: Psychology of movement
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      – SubjectFull: Reinforcement (Psychology)
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      – TitleFull: Developing a treatment for hand‐clapping maintained by automatic reinforcement using sensory analysis, noncontingent reinforcement, and thinning.
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            NameFull: Slocum, Sarah K.
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              Text: Feb2021
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              Y: 2021
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