Conducting power analysis typically involves the following steps:
Define the research question and hypothesis. Determine the effect size based on previous studies or pilot data. Choose the significance level (α) and desired power (1-β). Estimate the variability in the data. Use statistical software or power analysis calculators to determine the required sample size.
Several software tools, such as G*Power, PASS, and SPSS, can facilitate this process by providing user-friendly interfaces for calculating sample size and power.
