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An integrated model for guiding the selection of treatment components for problem behavior maintained by automatic reinforcement
Journal article   Peer reviewed

An integrated model for guiding the selection of treatment components for problem behavior maintained by automatic reinforcement

Wendy K Berg, David P Wacker, Joel E Ringdahl, Jason Stricker, Kelly Vinquist, Anuradha Salil Kumar Dutt, Danielle Dolezal, Jeffrey Luke, Lisa Kemmerer and Jayme Mews
Journal of applied behavior analysis, Vol.49(3), pp.617-638
09/2016
DOI: 10.1002/jaba.303
PMCID: PMC5023446
PMID: 26990962

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Abstract

We evaluated the usefulness of 2 assessments to guide treatment selection for individuals whose prior functional analysis indicated that automatic reinforcement maintained their problem behavior. In the 1st assessment, we compared levels of problem behavior during a noncontingent play condition and an alone or ignore condition. In the 2nd, we assessed participants' relative preferences for automatic reinforcement and social reinforcers in a concurrent-operants arrangement. We used the results of these 2 assessments to assign 5 participants to a treatment based on noncontingent access to social reinforcers or to a treatment based on differential access to social reinforcers. We conducted monthly probes with the participants over 10 to 12 months to evaluate the effects of the treatment procedures. All participants showed reductions in problem behavior over this period.
Food Preferences Humans Token Economy Male Reinforcement, Social Reinforcement Schedule Intellectual Disability - rehabilitation Time Factors Extinction, Psychological Adolescent Intellectual Disability - psychology Problem Behavior - psychology Child Behavior Therapy - methods

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