Social Psychological and Personality Science· 2017Q1
Equivalence Tests
- 2,049citations
- Q1SCImago
- 2017year
Short summary
Equivalence tests, specifically the TOST procedure, allow researchers to statistically reject the presence of effects larger than a predetermined meaningful threshold, thereby supporting the absence of a meaningful effect.
AI-generated from the title and abstract; the full text is not read.
Key points
- Equivalence tests can statistically support the absence of a meaningful effect.
- The TOST procedure sets upper and lower bounds based on the smallest effect size of interest.
- This method allows researchers to reject the presence of effects deemed not worthwhile.
- Accompanying spreadsheet and R package simplify the implementation of TOST and power analyses.
AI-generated from the title and abstract; the full text is not read.
Abstract
Scientists should be able to provide support for the absence of a meaningful effect. Currently, researchers often incorrectly conclude an effect is absent based a nonsignificant result. A widely recommended approach within a frequentist framework is to test for equivalence. In equivalence tests, such as the two one-sided tests (TOST) procedure discussed in this article, an upper and lower equivalence bound is specified based on the smallest effect size of interest. The TOST procedure can be used to statistically reject the presence of effects large enough to be considered worthwhile. This practical primer with accompanying spreadsheet and R package enables psychologists to easily perform equivalence tests (and power analyses) by setting equivalence bounds based on standardized effect sizes and provides recommendations to prespecify equivalence bounds. Extending your statistical tool kit with equivalence tests is an easy way to improve your statistical and theoretical inferences.
The authors' abstract, as published at the source. Social Psychological and Personality Science, 2017 · DOI ↗
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Field: Statistics and Probability
Statistics and ProbabilityMathematics