Comparison of Function-Based, Nonfunction-Based, and Combined Treatments for Escape-Maintained Aggression in a Child With Attention Deficit Hyperactivity Disorder: A Case Study
| Autor: | Nga Luong, Hallie Ertel, J. Aaron Bevacqua, David A. Wilder, Ansley C. Hodges |
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| Rok vydání: | 2019 |
| Předmět: |
050103 clinical psychology
Aggression business.industry medicine.medical_treatment media_common.quotation_subject 05 social sciences medicine.disease Compliance (psychology) Psychiatry and Mental health Clinical Psychology medicine Attention deficit hyperactivity disorder 0501 psychology and cognitive sciences 050102 behavioral science & comparative psychology medicine.symptom business Applied behavior analysis Function (engineering) Clinical psychology media_common |
| Zdroj: | Clinical Case Studies. 18:468-479 |
| ISSN: | 1552-3802 1534-6501 |
| Popis: | In applied behavior analysis, the use of function-based treatments to reduce problem behavior is well-supported. However, in some cases, function-based treatments alone may not be as effective as nonfunction-based treatments or function-based treatments with additional, nonfunction-based components. In this case study, we compared the delivery of preferred edible items (a nonfunction-based treatment), a break from a task (a function-based treatment), and an enhanced break, which consisted of a break plus access to a preferred tangible item (combination of a nonfunction-based and function-based treatment), to treat escape-maintained aggression exhibited by a young child with attention deficit hyperactivity disorder. Across all three treatments, reinforcement (i.e., edible, break, or enhanced break) was delivered contingent upon compliance with instructions and problem behavior resulted in escape. The nonfunction-based treatment and the combination treatment reduced aggression to zero levels; the function-based treatment did not. Finally, we allowed the participant to choose which of the three treatments he preferred to experience; he selected the combination treatment most often. |
| Databáze: | OpenAIRE |
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