**Tags**

Correlation Coefficients, Data Mining, Mathematics, Pearson Correlation, Spearman Correlation, statistics, tutorials

This is Part 2 of a tutorial series on the nonadditivity of correlation coefficients. This time we discuss Fisher *r*-to-*Z* and *Z*-to-*r* transformations and the risks of arbitrarily implementing these.

Misusing the transformations can have a detrimental impact on significance testing, confidence intervals, reported standard errors of correlations, and meta-analysis.

The tutorial is available at