ci.spcor: Confidence interval for a semipartial correlation

In statpsych: Statistical Methods for Psychologists

Confidence interval for a semipartial correlation

Description

Computes a Fisher confidence interval for a population semipartial correlation. This function requires an (unadjusted) estimate of the squared multiple correlation in the full model that contains the predictor variable of interest plus all control variables. This function computes a modified Aloe-Becker confidence interval that uses n - 3 rather than n in the standard error and also uses a Fisher transformation of the semipartial correlation.

For more details, see Section 2.7 of Bonett (2021, Volume 2)

Usage

ci.spcor(alpha, cor, r2, n)

Arguments

alpha	alpha level for 1-alpha confidence
cor	estimated semipartial correlation
r2	estimated squared multiple correlation in full model
n	sample size

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated semipartial correlation (from input)

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Bonett2021statpsych

\insertRef

Aloe2012statpsych

Examples

ci.spcor(.05, -.355, .230, 236)

# Should return:
# Estimate      SE      LL      UL
#   -0.355 0.05426 -0.4565 -0.2444
 

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