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Equivalence Tests: A Practical Primer for t Tests, Correlations, and Meta-Analyses
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, suc...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502906/ https://www.ncbi.nlm.nih.gov/pubmed/28736600 http://dx.doi.org/10.1177/1948550617697177 |