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Related Experiment Video

Updated: Jun 18, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

Symmetry-based methodology for decision-rule identification in same--different experiments.

Alexander A Petrov1

  • 1Department of Psychology, Ohio State University, Columbus, Ohio 43210, USA. apetrov@alexpetrov.com

Psychonomic Bulletin & Review
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

Standard data reduction methods in same-different tasks are wasteful. Analyzing all four stimulus pairs reveals observer decision rules, challenging symmetric decision criteria assumptions.

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Area of Science:

  • Cognitive psychology
  • Perceptual decision-making
  • Psychophysics

Background:

  • Traditional analysis of same-different tasks reduces data to hits and false alarms.
  • This simplification overlooks valuable information within response patterns.

Purpose of the Study:

  • To demonstrate that analyzing all four stimulus pairs (AA, BB, AB, BA) provides richer insights into observer decision rules.
  • To introduce a novel methodology for analyzing decision strategies in perceptual tasks.

Main Methods:

  • Described eight decision rules across three families: differencing, covert classification, and likelihood ratio.
  • Developed two qualitative tests to identify decision rule families based on response probability patterns.
  • Presented algorithms for fitting covert-classification models.
  • Applied the methodology to a visual motion-direction discrimination experiment.

Main Results:

  • Each decision rule family exhibits a unique pattern of response probability equalities or inequalities.
  • Qualitative tests can effectively reject specific decision rule families.
  • The standard assumption of symmetric decision criteria was violated in the visual motion-direction discrimination task.

Conclusions:

  • Analyzing all four stimulus pair types in same-different tasks is crucial for understanding observer decision rules.
  • The proposed methodology offers a more comprehensive approach to analyzing perceptual decision-making.
  • Decision criteria in perceptual learning may not always be symmetric.