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Related Experiment Videos

The good behavior game: 1969-2002.

Daniel H Tingstrom1, Heather E Sterling-Turner, Susan M Wilczynski

  • 1Department of Pyschology, University of Southern Mississippi, MS 39406-5025, USA.

Behavior Modification
|February 9, 2006
PubMed
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The Good Behavior Game (GBG) is a successful classroom behavior management strategy using team competition and peer influence. This review covers its variations, applications, and effectiveness across diverse populations and behaviors.

Area of Science:

  • Behavioral Psychology
  • Educational Psychology
  • Intervention Science

Background:

  • The Good Behavior Game (GBG) is an interdependent group-oriented contingency management procedure introduced in 1969.
  • It has demonstrated widespread success in classroom and other settings.
  • The GBG integrates team competition and peer influence with reinforcement strategies.

Purpose of the Study:

  • To review the Good Behavior Game (GBG), including its variations and adaptations.
  • To summarize empirical findings on the GBG's application to various target behaviors and participant groups.
  • To consider reinforcer types, consumer acceptance, and implementation challenges.

Main Methods:

  • This study is a review of existing literature on the Good Behavior Game.

Related Experiment Videos

  • It synthesizes empirical findings from studies utilizing the GBG.
  • The review examines variations, adaptations, and implementation factors.

    • Main Results:

    • The GBG is popular, user-friendly, time-efficient, and versatile.
    • It has been applied successfully to a wide range of target behaviors and participant populations.
    • Various reinforcers have been employed, with generally positive consumer acceptance.

    Conclusions:

    • The Good Behavior Game (GBG) is a highly effective and adaptable intervention for behavior management.
    • Its success is attributed to its group-oriented, competitive, and peer-influenced structure.
    • Further consideration of reinforcers and implementation strategies can optimize its application.