Statistical Power

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  • In hypothesis testing, researchers use statistical methods to determine whether the null hypothesis should be rejected. If the null hypothesis is false and the statistical analysis results lead the researcher to reject the null, then the researcher has made a correct decision. The probability of correctly rejecting a false null hypothesis is referred to as the statistical power. The researcher often sets a desired statistical power as one of the ingredients in the determination of the sample size needed in a research study. The following are ways to increase statistical power: (a) increase the sample size; (b) increase the alpha level (i.e., the level of significance), say from .05 to .10; (c) reduce experimental and measurement error in the estimate of variance; (d) increase the ...

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