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Compatibility of person-centered planning and applied behavior analysis.
The Behavior Analyst
|April 6, 2012
Summary
Person-centered planning (PCP) aims for social integration for people with disabilities. While its goals are measurable, behavioral principles in PCP face implementation challenges, hindering experimental analysis.
Area of Science:
- Behavioral Science
- Disability Studies
- Social Integration
Background:
- Person-centered planning (PCP) is a practice aimed at the social integration of individuals with disabilities.
- Applied behavior analysis (ABA) provides principles for analyzing and modifying behavior.
- Osborne (1999) prompted a comparison between PCP and ABA principles.
Purpose of the Study:
- To compare the aims and practices of person-centered planning (PCP) with the fundamental principles of applied behavior analysis (ABA).
- To evaluate the measurability of PCP's component goals and the challenges in assessing outcomes like friendship and autonomy.
- To explore the applicability of behavioral principles within PCP and identify barriers to experimental analysis.
Main Methods:
- Comparative analysis of PCP aims and practices against established ABA principles (Baer, Wolf, & Risley, 1968, 1987).
- Review of O'Brien's (1987b) component goals of PCP for quantifiability.
- Assessment of behavioral principles (e.g., contingency, contextual control) within PCP implementation.
Main Results:
- The primary goal of PCP, social integration, is a socially important behavior with documented issues.
- Most component goals of PCP are quantifiable, but measuring outcomes like friendship, autonomy, and respect is challenging.
- Behavioral principles are present in PCP, yet implementation inconsistencies impede rigorous experimental analysis.
Conclusions:
- Social integration, a key PCP goal, requires addressing complex system contingencies influencing lifestyles.
- While PCP aligns with behavioral principles, reliable implementation is crucial for scientific validation.
- Further research is needed to overcome challenges in measuring PCP outcomes and conducting experimental analyses.
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