Related Experiment Videos
Measuring learning using an untrained control group: comment on R. Reber and Perruchet
1Experimental Psychology, University of Sussex, Brighton, East Sussex, UK. dienes@biols.susx.ac.uk
Summary
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.
- 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.