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Empirically derived consequences: a data-based method for prescribing treatments for destructive behavior

W Fisher1, C C Piazza, L G Bowman

  • 1Neurobehavioral Unit, Kennedy Krieger Institute, Baltimore, MD 21205.

Research in Developmental Disabilities
|March 1, 1994
PubMed
Summary
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This study introduces a data-based assessment to identify reinforcers and punishers for destructive behaviors when functional assessments are unclear. Empirically derived consequences effectively reduced destructive behaviors in two clients.

Area of Science:

  • Behavioral Psychology
  • Applied Behavior Analysis

Background:

  • Functional assessments are standard for behavioral treatments but can be inconclusive.
  • Equivocal results may indicate internal stimuli maintaining behavior.

Purpose of the Study:

  • Evaluate an alternative data-based assessment for identifying reinforcers and punishers.
  • Test the efficacy of empirically derived consequences in treating destructive behaviors.

Main Methods:

  • Utilized a reinforcement assessment procedure (Pace et al., 1985) to identify consequences.
  • Applied combined empirically derived reinforcers and punishers to two clients with destructive behaviors.

Main Results:

  • Both clients exhibited marked decreases in destructive behavior rates.

Related Experiment Videos

  • The data-based assessment successfully identified effective consequences.

    • Conclusions:

    • Empirically derived consequences are effective for reducing destructive behavior, especially when functional assessments are inconclusive.
    • This method offers a viable alternative for cases where behavior is maintained by internal stimuli.