Statistical and Substantive Significance of Pearson Bivariate Correlation Coefficients Under True or False Null Hypotheses

This paper used simulated data to demonstrate that statistical significance is a viable tool for reducing the number of false effect sizes (Pearson's bivariate correlation coefficients) that would otherwise be considered substantively significant when working with small sample sizes.