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Related Experiment Videos

Measuring resistance to change at the within-session level.

François Tonneau1, Américo Ríos, Felipe Cabrera

  • 1Centro de Estudios de Alcoholismo y Adicciones, Antigua Escuela de Medicina, Calle Hospital 320, Guadalajara, Jalisco, México. ftonneau@cencar.udg.mx

Journal of the Experimental Analysis of Behavior
|August 15, 2006
PubMed
Summary

This study introduces a new method to measure resistance to change by analyzing response patterns, avoiding normalization artifacts. This approach confirms predictions about resistance to change in animal behavior research.

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Area of Science:

  • Behavioral neuroscience
  • Animal behavior analysis

Background:

  • Resistance to change is typically assessed using normalized and log-transformed response rates.
  • Normalization methods can introduce artifacts if baseline levels and disruption are not multiplicatively related.

Purpose of the Study:

  • To develop and test a novel method for measuring resistance to change that avoids normalization artifacts.
  • To evaluate disruption models using untransformed response rates and within-session data.

Main Methods:

  • Utilized within-session response patterns in rats.
  • Fitted specific disruption models to untransformed response rates.
  • Analyzed response rate at a within-session level.

Main Results:

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  • Confirmed a key prediction of the resistance-to-change framework.
  • Demonstrated that normalization artifacts were not a plausible explanation for the observed results.
  • The proposed method successfully modeled disruption without relying on normalization.

    • Conclusions:

    • Within-session analysis of response patterns provides a more robust measure of resistance to change.
    • This method overcomes limitations associated with traditional normalization techniques.
    • The findings support the validity of the resistance-to-change framework and offer a refined analytical approach.