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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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Related Experiment Video

Updated: Jul 30, 2025

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Modeling Behavioral Persistence with Resurgence as Choice in Context (RaC2): A Tutorial.

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  • 1Neurobehavioral Unit, Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD 21205 USA.

Behavior Analysis in Practice
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Summary

The Resurgence as Choice in Context (RaC2) model quantifies response reemergence when alternatives worsen. This study provides a guide for applying this quantitative model in behavior analysis research and practice.

Keywords:
Behavioral persistenceQuantitative modelResurgenceResurgence as Choice in ContextTutorial

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Area of Science:

  • Behavioral science
  • Quantitative psychology

Background:

  • Response resurgence occurs when a previously extinguished behavior reemerges.
  • Understanding resurgence is crucial for effective behavior modification and treatment relapse prevention.

Purpose of the Study:

  • Introduce the Resurgence as Choice in Context (RaC2) quantitative model.
  • Provide a practical guide for implementing the RaC2 model using Microsoft Excel.
  • Facilitate understanding of the model's variables and clinical implications.

Main Methods:

  • Developed the RaC2 quantitative model based on the matching law.
  • Created a step-by-step task analysis for building the RaC2 model in Excel 2013.
  • Designed learning activities to illustrate model principles and applications.

Main Results:

  • The RaC2 model predicts response allocation based on changes in relative reinforcement value.
  • The provided Excel guide simplifies the construction and application of the RaC2 model.
  • Learning activities demonstrate how variables influence model predictions.

Conclusions:

  • The RaC2 model offers a quantitative framework for analyzing response resurgence.
  • Practical implementation guidance enhances accessibility for researchers and practitioners.
  • Understanding RaC2 aids in designing interventions to manage treatment relapse.