Sample Size: Larger sample sizes increase power because they provide more data points, reducing variability and making it easier to detect an effect. Effect Size: Larger effect sizes are easier to detect, increasing statistical power. Significance Level (α): Lowering the threshold for significance (e.g., from 0.05 to 0.01) reduces power, while increasing it raises power. Variability: Lower variability within the data increases power because it makes it easier to detect differences between groups.
