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Computing Statistical Power Online
Because manual computation is complex, researchers typically compute the statistical power for various research designs using online tools and downloadable programs, such as Russ Lenth’s Power and Sample Size Page or G*Power. By inputting the expected relationship strength, the sample size, and the level, these applications calculate the study's power or determine the exact sample size required to achieve a desired power level, such as .
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Research Methods in Psychology - 4th American Edition @ KPU
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Example of Sample Size Requirements for High Statistical Power
Example of Sample Size Requirements for High Statistical Power
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Which of the following best defines the statistical power of a research design?
A researcher designs a study with a statistical power of .80. This means there is a 20% probability that the study will fail to detect a real effect that actually exists in the population.