A priori power analysis is a statistical method used to determine the sample size required for a study before data collection begins, ensuring that the study has enough power to detect an effect if it exists. This process involves estimating the expected effect size, significance level, and desired power level, which are crucial for making informed decisions about research design and resource allocation.
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