Title
An evaluation of the relative utility of two demand assessments for identifying negative reinforcers
Alternate Title
Utility of two demand assessments
Advisor(s)
Eileen M. Roscoe
Contributor(s)
Jason C. Bourret, Jessica Sassi
Date of Award
2011
Date Accepted
7-2011
Degree Grantor
Northeastern University
Degree Level
M.S.
Degree Name
Master of Applied Behavior Analysis
Department or Academic Unit
Bouvé College of Health Sciences. Department of Counseling and Applied Educational Psychology.
Keywords
psychology, behavioral, autism, demand assessment, negative reinforcer
Subject Categories
Behavioral assessment, Autistic youth - Behavior modification, Reinforcement (Psychology)
Disciplines
Behavior and Behavior Mechanisms
Abstract
The purposes of the current study were (1) to evaluate the utility of an indirect assessment for identifying tasks for use in demand assessments, (2) to assess the reliability of demand assessments, and (3) to assess the validity of the identified demands in a functional analysis and a negative reinforcer assessment. A 16-year-old individual with an autism spectrum disorder, who exhibited self-injury maintained by escape from demands, participated. The study included four phases: an indirect assessment, two different demand assessments, a functional analysis, and a negative reinforcer assessment. Both demand assessments yielded consistent outcomes and identified the same low-preference (LP) and high-preference (HP) demands. However, the LP demand identified from the demand assessments was not consistent with that identified in the indirect assessment. The functional analysis and negative reinforcer assessment demonstrated that the LP demand identified from the demand assessments was a more potent negative reinforcer than the LP demand identified from the indirect assessment.
Document Type
Master's Thesis
Rights Holder
Carly Cornelius
Permanent URL
Recommended Citation
Cornelius, Carly, "An evaluation of the relative utility of two demand assessments for identifying negative reinforcers" (2011). Applied Behavioral Analysis Master's Theses. Paper 83. http://hdl.handle.net/2047/d20001210
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