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Related Experiment Videos

Recommendations for applying tests of equivalence.

Robert A Cribbie1, Jamie A Gruman, Chantal A Arpin-Cribbie

  • 1Department of Psychology, York University, Toronto, ON, Canada. cribbie@yorku.ca

Journal of Clinical Psychology
|December 24, 2003
PubMed
Summary

Schuirmann

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Area of Science:

  • Psychological research methodology
  • Statistical inference

Background:

  • Psychologists commonly use traditional significance tests (e.g., Student's t-test) for group mean comparisons.
  • Equivalence testing, prevalent in biopharmaceuticals, is increasingly recommended for psychological research but lacks application guidance.

Purpose of the Study:

  • To compare the effectiveness of Schuirmann's equivalence test against the traditional Student's t-test for assessing group mean equivalence.

Main Methods:

  • A Monte Carlo simulation study was employed to evaluate both statistical tests.
  • The study focused on scenarios with varying sample sizes and variances.

Main Results:

  • Schuirmann's equivalence test demonstrates superior performance in detecting population mean equivalence with large sample sizes.
  • Both tests showed limitations: Schuirmann's test was less effective with small sample sizes and inflated variances compared to the Student's t-test.

Conclusions:

  • Schuirmann's test is a valuable tool for demonstrating mean equivalence in psychology, particularly with large datasets.
  • Researchers should exercise caution when using equivalence tests with small sample sizes or high variances, considering the Student's t-test as an alternative.

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