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- W1560432195 abstract "Statistical power is a measure of the likelihood that a researcher will find statistical significance in a sample if the effect exists in the full population. Power is a function of three primary factors and one secondary factor: sample size, effect size, significance level, and the power of the statistic used. The most common reason to conduct a power analysis is to determine the sample size needed for a particular study. However, power analysis may also be used after a study has been completed to determine if the reason an effect was not significant was insufficient power. Generally, however, post hoc power analysis is not suggested; that work should be done prior to beginning a study. The influence of effect size, significance, sample size, and the power of the statistic are explored." @default.
- W1560432195 created "2016-06-24" @default.
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- W1560432195 date "2008-01-01" @default.
- W1560432195 modified "2023-09-23" @default.
- W1560432195 title "Power analysis in research" @default.
- W1560432195 doi "https://doi.org/10.11613/bm.2008.024" @default.
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