Traditionally, data collected in a research study is submitted to a significance test to assess the viability of the null hypothesis.
A power analysis, executed when the study is being planned, is used to anticipate the likelihood that the study will yield a significant effect and is based on the same factors as the significance test itself. Specifically, the larger the effect size used in the power analysis, the larger the sample size, and/or the more liberal the criterion required for significance (alpha), the higher the expectation that the study will yield a statistically significant effect.
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