methodological

and lead to false positives. Myth 3: Larger Sample Sizes Always Lead to Better Results Overview: While larger samples can increase statistical power, they do not inherently guarantee valid or meaningful results. Why it’s a myth: Large

Inadequate training in statistical literacy can leave practitioners susceptible to misconceptions. Common Statistical and Methodological Myths 1. P-Values Confirm Hypotheses One of the most pervasive myths is that a p-value less than 0.05 confirms a hypothesis or proves an effect exists