Introduction-to-Statistics-and-Quantitative-Research-Methods
Introduction-to-Statistics-and-Quantitative-Research-Methods
Introduction-to-Statistics-and-Quantitative-Research-Methods
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PowerDetermining power depends on several fac<strong>to</strong>rs:• 1) Sample size: how big was your sample?• 2) Effect size: what size of an effect are you looking for? E.g.How large of a difference (association, correlation) are youlooking for? What would be the most scientifically interesting?• 3) St<strong>and</strong>ard deviation: how scattered was your data?For example, a large sample, with a large effect, <strong>and</strong> a smallst<strong>and</strong>ard deviation would be very likely <strong>to</strong> have found astatistically significant finding, if it existed.• A power of 80%-95% is desirable.• One of the best ways <strong>to</strong> increase the power of your study is <strong>to</strong>increase your sample size.
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