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A simple BASIC program to generate values for variable-interval schedules of reinforcement.

D A Hantula1

  • 1St. Joseph's University.

Journal of Applied Behavior Analysis
|January 1, 1991
PubMed
Summary
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This study presents a BASIC program for generating variable-interval (VI) schedules of reinforcement. The program ensures a constant probability of reinforcement, overcoming limitations of arithmetic progressions in behavioral research.

Area of Science:

  • Behavioral Psychology
  • Operant Conditioning
  • Experimental Design

Background:

  • Variable-interval (VI) schedules are crucial for maintaining consistent reinforcement probability over time in behavioral studies.
  • Traditional arithmetic progression calculations for VI schedules can lead to a positive correlation between reinforcement probability and time since the last reinforcer.
  • The Fleshler and Hoffman (1962) iterative equation offers a method to generate VI schedule values with constant reinforcement probability.

Purpose of the Study:

  • To present a user-friendly BASIC program for generating variable-interval (VI) schedule values.
  • To implement the Fleshler and Hoffman (1962) equation for accurate VI schedule generation.
  • To randomize generated VI schedule values and save them to a disk file for experimental use.

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Main Methods:

  • Development of a BASIC program utilizing the Fleshler and Hoffman (1962) iterative equation.
  • Implementation of randomization for generated VI schedule values.
  • Outputting VI schedule values in ASCII format to a disk file.

Main Results:

  • The program successfully generates VI schedule values that adhere to the constant probability principle.
  • Generated values are randomized, providing a more robust experimental tool.
  • The output is saved in a universally accessible ASCII format.

Conclusions:

  • The presented BASIC program provides an accessible and accurate method for generating VI schedules.
  • This tool facilitates precise experimental control in behavioral research by ensuring constant reinforcement probability.
  • The program's ease of use and output format enhance its utility for researchers.