Predicting the Effects of Interventions: A Tutorial on the Disequilibrium Model.

Area of Science:

• Behavioral Science
• Applied Behavior Analysis (ABA)

Background:

• The disequilibrium approach, rooted in the probability-differential and response deprivation hypotheses, offers valuable mathematical models for behavior management.
• Despite proven effectiveness in behavior prediction and control, these models are underutilized in clinical settings.

Purpose of the Study:

• To elucidate the disequilibrium approach and its mathematical underpinnings.
• To adapt these models into a practical tool for applied behavior analysis settings.
• To facilitate the integration of disequilibrium models into clinical practice.

Main Methods:

• Detailed explanation of the disequilibrium approach and its theoretical foundations.
• Adaptation of mathematical models for practical application in behavior modification.
• Development of a Microsoft Excel® spreadsheet tool for calculating behavior change predictions.

Main Results:

• The developed Excel tool integrates disequilibrium models to predict the direction and magnitude of behavior change.
• The tool requires practitioners to input baseline measures and select intervention parameters.
• Guidance is provided on how practitioners can effectively utilize baseline measures and intervention parameters within the disequilibrium framework.

Conclusions:

• The disequilibrium approach provides a robust framework for understanding and manipulating behavior.
• The provided Excel tool serves as a practical resource for clinicians to apply disequilibrium models.
• Enhanced integration of these models can improve the prediction and control of behavior in applied settings.