A priori power analysis is a statistical technique used to determine the sample size needed for a study before the data is collected, ensuring that the study has a sufficient chance of detecting an effect if it exists. This analysis helps researchers set realistic expectations regarding the results and assess the feasibility of their research plans. By considering factors like effect size, significance level, and desired power, it plays a crucial role in designing robust experiments.
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