ci.cor2: Confidence interval for a 2-group Pearson correlation...

In statpsych: Statistical Methods for Psychologists

Confidence interval for a 2-group Pearson correlation difference

Description

Computes a confidence interval for a difference in population Pearson correlations in a 2-group design. A bias adjustment is used to reduce the bias of each Fisher transformed correlation.

For more details, see Section 2.17 of Bonett (2021, Volume 2)

Usage

ci.cor2(alpha, cor1, cor2, n1, n2)

Arguments

alpha	alpha level for 1-alpha confidence
cor1	estimated Pearson correlation for group 1
cor2	estimated Pearson correlation for group 2
n1	sample size for group 1
n2	sample size for group 2

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated correlation difference

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Zou2007statpsych

\insertRef

Bonett2021statpsych

Examples

ci.cor2(.05, .64, .31, 200, 200)

# Should return:
# Estimate      SE      LL     UL
#     0.33 0.07692  0.1797 0.4814
 

statpsych documentation built on Jan. 13, 2026, 1:07 a.m.