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Another important step in planning is confirming that your study will be adequately "powered." This has to do with the statistical tests you plan to use. Power refers to the probability that a given test will find a statistically significant difference (either between study groups or within groups over time) when such a difference actually exists. It is generally accepted that power should be 0.8 or greater. In other words, assuming that a statistically significant difference exists, a test ideally should be able to detect it at least 80% of the time.

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