Frontiers | Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs
www.frontiersin.org
intervention or experimental manipulation has an effect greater than zero report effect sizes, because they are useful for three reasons. magnitude of the reported effects in a standardized metric a-priori power analysis can provide an indication of the average sample size a study needs to observe a
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- intervention or experimental manipulation has an effect greater than zero
- report effect sizes, because they are useful for three reasons.
- magnitude of the reported effects in a standardized metric
- a-priori power analysis can provide an indication of the average sample size a study needs to observe a statistically significant result with a desired likelihood.
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