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An implicit technology of generalization.

T F Stokes1, D M Baer

  • 1The University of Manitoba.

Journal of Applied Behavior Analysis
|July 1, 1977
PubMed
Summary
This summary is machine-generated.

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Generalization, often passive, requires active strategies for effective application. This review outlines nine methods to actively program and assess generalization in research and practice.

Area of Science:

  • Behavioral Science
  • Psychology

Background:

  • Discrimination is an active process with established technologies.
  • Generalization has been viewed passively, as a byproduct of inadequate discrimination training.

Purpose of the Study:

  • To reframe generalization as an active process deserving its own technology.
  • To review and categorize existing literature on assessing and programming generalization.

Main Methods:

  • Literature review and categorization of studies on generalization.
  • Organizing studies under nine distinct headings representing generalization strategies.

Main Results:

  • Identified nine categories of generalization strategies: Train and Hope, Sequential Modification, Introduce to Natural Maintaining Contingencies, Train Sufficient Exemplars, Train Loosely, Use Indiscriminable Contingencies, Program Common Stimuli, Mediate Generalization, and Train "To Generalize".

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Conclusions:

  • Generalization can and should be actively programmed.
  • The identified categories provide a framework for developing a technology of generalization.