A function to transform Fischer's
Z^\prime into the scale of a correlation coefficient.
Value of Fisher's
This function is typically used in the context of forming a confidence interval for a population correlation coefficient. Note that, in that situation, the two variables are assumed to follow a bivariate normal distribution (e.g., Hays, 1994).
returns a value on the scale of a correlation coefficieint from a value of Fisher's Z.
Ken Kelley (University of Notre Dame; KKelley@ND.Edu)
Kelley, K. (2007). Confidence intervals for standardized effect sizes: Theory, application, and implementation. Journal of Statistical Software, 20(8), 1–24.
Hays, W. L. (1994). Statistics (5th ed). Fort Worth, TX: Harcourt Brace College Publishers)
# From Hays (1994, pp. 649--650) transform_Z.r(0.3654438)
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