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 one exists. This technique helps researchers set appropriate sample sizes based on anticipated effect sizes, significance levels, and desired statistical power, allowing for more reliable and valid research outcomes.
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