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

In statpsych: Statistical Methods for Psychologists

Confidence interval for a 2-group correlation difference

Description

Computes a 100(1 - alpha)% confidence interval for a difference in population correlations in a 2-group design. The correlations can be Pearson, Spearman, partial, semipartial, or point-biserial correlations. The correlations could also be correlations between two latent factors. The function requires a point estimate and a 100(1 - alpha)% confidence interval for each correlation as input. The confidence intervals for each correlation can be obtained using ci.fisher.

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

Usage

ci.cor2.gen(cor1, ll1, ul1, cor2, ll2, ul2)

Arguments

cor1	estimated correlation for group 1
ll1	lower limit for group 1 correlation
ul1	upper limit for group 1 correlation
cor2	estimated correlation for group 2
ll2	lower limit for group 2 correlation
ul2	upper limit for group 2 correlation

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated correlation difference

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Zou2007statpsych

\insertRef

Bonett2021statpsych

Examples

ci.cor2.gen(.64, .55, .71, .31, .18, .43)

# Should return:
# Estimate    LL     UL
#      0.33 0.18 0.4776
 

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