ci.cramer: Confidence interval for Cramer's V

In statpsych: Statistical Methods for Psychologists

Confidence interval for Cramer's V

Description

Computes a confidence interval for a population Cramer's V coefficient of nominal association for an r x s contingency table. The confidence interval is based on a noncentral chi-square distribution, and an approximate standard error is recovered from the confidence interval.

For more details, see Section 3.10 of Bonett (2021, Volume 3)

Usage

ci.cramer(alpha, chisqr, r, c, n)

Arguments

alpha	alpha value for 1-alpha confidence
chisqr	Pearson chi-square test statistic of independence
r	number of rows in contingency table
c	number of columns in contingency table
n	sample size

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimate of Cramer's V

• SE - recovered standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Smithson2003statpsych

\insertRef

Bonett2021statpsych

Examples

ci.cramer(.05, 19.21, 2, 3, 200)

# Should return:
# Estimate     SE   LL    UL
#     0.31 0.0718 0.16 0.442
 

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