Requirements for power calculations

Dissertation Forum Forums Power Analysis Requirements for power calculations

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    William Powell
    William Powell

    In general, the power of your test is positively linked to your sample size, i.e. as the sample size increases, so does the power. This intuitively means that a larger sample size will generate higher chances of correctly rejecting your null hypothesis. Now, to estimate your sample size, power calculation is a pre-condition. Statistical pros are handy on conducting these calculations without any external software support. But, for people like you and me, various statistical software programs are available on the internet.
    But before you go ahead with the quest for an appropriate software tool, you will need to know the following:
    • The type of test you plan to use from tests like ANOVA, F-test, t-test, regression, etc.
    • The value of alpha or the level of significance, which generally are used as 0.01 or 0.05
    • The estimated effect size to judge how meaningful the statistically significant difference is.

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