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Related Experiment Videos

Measuring learning using an untrained control group: comment on R. Reber and Perruchet.

Zoltán Dienes1, Gerry Altmann

  • 1Experimental Psychology, University of Sussex, Brighton, East Sussex, UK. dienes@biols.susx.ac.uk

The Quarterly Journal of Experimental Psychology. A, Human Experimental Psychology
|February 18, 2003
PubMed
Summary
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Untrained control groups are valuable for research, even without training. Comparing trained and untrained groups effectively demonstrates learning without needing additivity assumptions.

Area of Science:

  • Cognitive Psychology
  • Learning Sciences
  • Research Methodology

Background:

  • A critique by Reber and Perruchet questions the validity of using untrained control groups to establish learning.
  • Their argument posits that such methodology relies on an unsound additivity assumption.

Discussion:

  • This response refutes the necessity of the additivity assumption for inferring learning.
  • It demonstrates that a difference between trained and untrained groups is sufficient evidence.
  • Untrained controls provide essential comparative data for robust learning research.

Key Insights:

  • Inferring learning does not depend on an additivity assumption between trained and untrained groups.
  • The efficacy of untrained control groups is defended as a valid research tool.

Related Experiment Videos

  • Methodological soundness in learning research is addressed.
  • Outlook:

    • Further validation of control group methodologies in psychological research.
    • Encouraging the continued use of untrained controls for robust experimental design.
    • Promoting rigorous standards for establishing evidence of learning in experimental studies.