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On testing for stochastic dissociations.

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Statistical dependence testing in psychology is complex and prone to errors. This study reveals issues with common methods and small sample sizes, questioning previous findings and offering improvements for researchers.

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Area of Science:

  • Psychology
  • Statistics

Background:

  • Stochastic relationship methods are used to differentiate psychological processes.
  • Existing methods face challenges and have undermined previous conclusions.

Purpose of the Study:

  • To review criticisms of stochastic relationship testing methods.
  • To examine statistical methods for testing stochastic dependence using computer simulation.

Main Methods:

  • Computer simulation of statistical methods for testing stochastic dependence.
  • Review of existing literature on stochastic relationship testing and its criticisms.

Main Results:

  • Several methods showed difficulties with common experimental situations involving successive tests.
  • Insufficient sample sizes in prior studies may invalidate findings of moderate dependence.

Conclusions:

  • Testing for statistical dependence is a statistically perilous technique.
  • Improvements can be made to strengthen the application of these testing methods.