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
