Several factors can influence the power of a study:
Sample Size: Larger sample sizes generally increase the power of a study. Effect Size: Larger effect sizes are easier to detect, thereby increasing power. Significance Level: Lowering the alpha level (e.g., from 0.05 to 0.01) decreases the power because it makes it harder to achieve statistical significance. Variability: Higher variability in the data can reduce power, as it makes differences harder to detect.
