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Related Experiment Videos

Representing within-session response rates proportionally and entirely

D W Schaal1

  • 1Department of Psychology, West Virginia University, Morgantown 26506-6040, USA.

Journal of the Experimental Analysis of Behavior
|July 1, 1996
PubMed
Summary
This summary is machine-generated.

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This study introduces a novel method for analyzing response rates in behavioral experiments. It uses cumulative proportional plotting to represent response rates proportionally, simplifying the analysis of reinforcement schedules.

Area of Science:

  • Behavioral science
  • Experimental psychology
  • Animal behavior

Background:

  • Analyzing response rates is crucial for understanding behavior under schedules of reinforcement.
  • Traditional methods often require arbitrary interval selection for aggregation.
  • Consistent and proportional representation of response rates is needed.

Purpose of the Study:

  • To present a new method for collecting and representing response rates.
  • To express response rates proportionally without arbitrary interval selection.
  • To illustrate changes in local response rates relative to the entire-session rate.

Main Methods:

  • Collecting time-stamped data for events like responses and reinforcers.
  • Using computer programs to convert responses to percentages of total session responses.

Related Experiment Videos

  • Cumulatively plotting these percentages against time within the session.

    • Main Results:

    • The method allows proportional expression of response rates using a consistent y-axis scale.
    • Deviations from a diagonal line indicate changes in local response rates.
    • Demonstrated with key pecking data from pigeons on a variable-interval schedule.

    Conclusions:

    • The cumulative proportional plotting method offers a standardized way to represent response rates.
    • This technique facilitates the analysis of within-session changes in response rates.
    • It provides a clear visual representation of how local rates deviate from overall rates.