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 can be obtained using the ci.fisher function.

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

Examples

ci.cor2.gen(.4, .35, .47, .2, .1, .32)

# Should return:
# Estimate   LL        UL
#      0.2 0.07 0.3220656
 

statpsych documentation built on Sept. 11, 2024, 7:42 p.m.