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High false positive rates in common sensory threshold tests.

Cordelia A Running1

  • 1Department of Food Science, Purdue University, West Lafayette, IN, 47905, USA, crunnin@purdue.edu.

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False positives significantly impact sensory threshold testing variability. Staircase methods generally show lower false positive rates than ascending methods, though both require careful consideration in research design.

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Area of Science:

  • Psychology
  • Neuroscience
  • Psychophysics

Background:

  • Sensory threshold variability is common in healthy populations.
  • Genetics and daily fluctuations contribute to this variability.
  • False positives are an underappreciated source of variability in threshold testing.

Purpose of the Study:

  • To simulate and analyze false positive rates in various sensory threshold testing methods.
  • To compare the performance of ascending and staircase methods regarding false positives.
  • To provide guidance for researchers on selecting appropriate threshold testing methodologies.

Main Methods:

  • Simulated responses using random number generation for different "stopping rules" in threshold methods.
  • Evaluated ascending 2-alternative forced choice (AFC) and 3-AFC methods.
  • Analyzed staircase 2-AFC and 3-AFC methods with varying parameters (e.g., reversals, correct/incorrect responses).

Main Results:

  • Developed formulas for false positive rates in ascending methods.
  • Generated performance curves for staircase methods.
  • Staircase methods generally exhibited lower false positive rates but were more sensitive to the number of presentations.

Conclusions:

  • High false positive rates are a concern across tested threshold methods.
  • Researchers should consider multiple tests per individual or methods that correct for false positives.
  • Fitting a logistic curve to response data is a potential strategy for error correction.