transform_Z.r {MBESS}

Transform Fischer's Z into the scale of a correlation coefficient

Description

A function to transform Fischer's Z^\prime into the scale of a correlation coefficient.

Usage

transform_Z.r(Z)

Arguments

Z

Value of Fisher's Z^\prime (also called Fisher's Z).

Details

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).

Value

returns a value on the scale of a correlation coefficieint from a value of Fisher's Z.

Author(s)

Ken Kelley (University of Notre Dame; [e-mail])

References

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)

See Also

transform_r.Z, ci.cc

Examples

# From Hays (1994, pp. 649--650)
transform_Z.r(0.3654438)