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Related Experiment Video

Updated: May 31, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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An extension to the constructivist coding hypothesis as a learning model for selective feedback when the base rate is

Navid Ghaffarzadegan1, Thomas R Stewart

  • 1Department of Public Administration and Policy, Rockefeller College of Public Affairs and Policy, University at Albany, State University of New York, Albany, NY 12222, USA. navidg@gmail.com

Journal of Experimental Psychology. Learning, Memory, and Cognition
|July 7, 2011
PubMed
Summary

This study challenges the constructivist coding hypothesis, suggesting it overestimates base rate bias in decision-making under selective feedback. A simulation model supports these findings, proposing modifications to the hypothesis.

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Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Behavioral Economics

Background:

  • The constructivist coding hypothesis explains decision outcome coding when feedback is conditional.
  • Previous empirical evidence was limited to a .5 base rate condition.

Purpose of the Study:

  • To critically evaluate the constructivist coding hypothesis.
  • To investigate its performance under varying base rate conditions.
  • To propose extensions for improved accuracy.

Main Methods:

  • A simulation model of learning under selective feedback was developed.
  • The model was tested across different base rate conditions.

Main Results:

  • The constructivist coding hypothesis imposes an ever-declining selection rate.
  • It overestimates base rate bias in high base rate conditions.

Conclusions:

  • The constructivist coding hypothesis requires refinement for high base rate scenarios.
  • Proposed extensions can enhance the model's predictive power in selective feedback environments.