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

View source: R/statpsych2.R

ci.cor2.genR Documentation

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 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 April 4, 2025, 3:20 a.m.