ci.cor2 {statpsych}

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 adjustmentment is used to reduce the bias of each Fisher transformed correlation.

Usage

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

Arguments

alpha

alpha level for 1-alpha confidence

cor1

estimated Pearson correlation in group 1

cor2

estimated Pearson correlation in 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

Zou GY (2007). “Toward using confidence intervals to compare correlations.” Psychological Methods, 12(4), 399–413. ISSN 1939-1463, doi:10.1037/1082-989X.12.4.399.

Examples

ci.cor2(.05, .886, .802, 200, 200)

# Should return:
# Estimate         SE         LL        UL
#    0.084 0.02967934 0.02803246 0.1463609