Assessing 'behavioral artistry' staff training on behavior technicians' use of behavioral artistry traits and the behavior of young children with autism spectrum disorder
Training high quality practitioners continues to be a priority in the field of Applied Behavior Analysis. The concept of behavioral artistry (BA) identifies traits that may contribute to an individual's success as a behavior analyst, including attributes such as resilience, sense of humor, and compassion. Despite BA's potential for meaningful impact in the field, research in this area remains limited. The current study aimed to behaviorally define the BA trait "likes people" and investigated the effects of a behavioral skills training and video self-modeling on the development of behaviors representative of that BA trait. Additionally, data were collected on client behaviors, in order to examine the effects of the BA training on client behavior. Four dyads consisting of one behavior technician and one young child diagnosed with Autism Spectrum Disorder participated in the study, which took place in an EIBI clinic affiliated with a midwestern university. Results showed an increase in the use of the BA trait "likes people" in all adult participants. However, this behavior change did not maintain over time. Child participants demonstrated very little behavior change between phases of this study. These findings indicate that BST and VSM may not be the most effective intervention for training staff on BA.
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- In Collections
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Electronic Theses & Dissertations
- Copyright Status
- In Copyright
- Material Type
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Theses
- Authors
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Notarianni, Emilia
- Thesis Advisors
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Plavnick, Joshua
- Committee Members
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Stauch, Tiffany
Brodhead, Matthew
Plavnick, Joshua
- Date Published
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2022
- Subjects
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Psychology, Applied
Behavior analysts
Autistic children--Care
Special education teachers--Training of
Behavioral assessment
- Program of Study
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Applied Behavior Analysis - Master of Arts
- Degree Level
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Masters
- Language
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English
- Pages
- v, 39 pages
- ISBN
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9798438720614
- Permalink
- https://doi.org/doi:10.25335/r34p-dv70