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Assessing the effectiveness of programmed generalization.

J D Cone1

  • 1West Virginia University.

Journal of Applied Behavior Analysis
|January 1, 1973
PubMed
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This study suggests alternative data analyses for behavioral research, incorporating baseline levels. These methods may yield different conclusions than previous studies on behavior retention in token economies.

Area of Science:

  • Behavioral psychology
  • Research methodology

Background:

  • Previous studies on behavior retention in token economies did not utilize baseline data.
  • Walker and Buckley (1972) reported retention rates without baseline analysis.

Purpose of the Study:

  • To propose and evaluate alternative statistical analyses for assessing behavioral change and retention.
  • To re-analyze Walker and Buckley's (1972) data using methods that incorporate baseline levels.

Main Methods:

  • Discussion of issues in assessing behavioral change and retention.
  • Proposal of two alternative analyses: change scores and analysis of covariance.
  • Re-analysis of existing behavioral study data.

Main Results:

  • The proposed analyses, incorporating baseline levels, were found to be potentially more informative.

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  • Analysis of Walker and Buckley's data using the suggested methods could lead to different conclusions.

    • Conclusions:

    • Standard methods for assessing behavioral retention may be insufficient.
    • Incorporating baseline data is crucial for accurate analysis of behavioral change and retention.
    • Alternative statistical approaches offer a more robust evaluation of intervention effectiveness.