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Applied behavior analysis and statistical process control?

B L Hopkins1

  • 1Department of Psychology, Auburn University, Alabama 36849, USA.

Journal of Applied Behavior Analysis
|January 1, 1995
PubMed
Summary
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Statistical process control (SPC) methods may hinder applied behavior analysis (ABA) by reducing direct engagement with problems, potentially leading to suboptimal treatment and research decisions. This analysis critiques SPC

Area of Science:

  • Behavioral Science
  • Applied Behavior Analysis
  • Statistical Process Control

Background:

  • Critiques the proposed integration of Statistical Process Control (SPC) methods into Applied Behavior Analysis (ABA) research and practice.
  • Examines the methodological differences between SPC and ABA research strategies.

Discussion:

  • Argues that SPC implementation could diminish behavior analysts' direct engagement with client issues.
  • Suggests that reduced contact may lead to poorer treatment and research outcomes, using examples from Pfadt and Wheeler (1995).

Key Insights:

  • Highlights potential negative impacts of SPC on ABA's core principles and effectiveness.
  • Addresses common misunderstandings regarding SPC, W. Edwards Deming, total quality management, and variability detection methods.

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Outlook:

  • Recommends caution in adopting SPC within ABA until its implications are fully understood.
  • Suggests further research to clarify the compatibility and potential benefits or drawbacks of SPC in behavioral contexts.