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…
Citation impact
1,991
total citations
- FWCI
- 154.23
- Percentile
- 100%
- References
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Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Equivalence (formal languages)
- Frequentist inference
- Mathematics
- Statistical hypothesis testing
- Upper and lower bounds
- Statistics
- Statistical power
- Econometrics
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