![]() But it’s probably most commonly be used to test the significance of the difference between two correlation coefficients, r 1 and r 2 from independent samples. Instead of working the formula, you can also refer to the r to z’ table.įisher’s z’ is used to find confidence intervals for both r and differences between correlations. The formula to transform r to a z-score is:įor example, if your correlation coefficient(r) is 0.4, the transformation is: The “z” in Fisher Z stands for a z-score. the correlation coefficient) so that it becomes normally distributed. The normal distribution.The Fisher Z-Transformation is a way to transform the sampling distribution of Pearson’s r (i.e. ![]()
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