transform_r.Z {MBESS}

Transform a correlation coefficient (r) into the scale of Fisher's Z^\prime

Description

This function transform a correlation coefficient into the scale of Fisher's Z^\prime.

Usage

transform_r.Z(r)

Arguments

r

correlation coefficient (between two variables)

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 Fisher's Z^\prime, also called Fisher's Z, from a given correlation value.

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_Z.r, ci.cc

Examples

# From Hays (1994, pp. 649--650)
transform_r.Z(.35)