ci.biphi: Confidence interval for a biserial-phi correlation

In statpsych: Statistical Methods for Psychologists

Confidence interval for a biserial-phi correlation

Description

Computes a confidence interval for a biserial-phi correlation using a transformation of a confidence interval for an odds ratio with .5 added to each cell frequency. This measure of association assumes the group variable is naturally dichotomous and the response variable is artificially dichotomous.

Usage

ci.biphi(alpha, f1, f2, n1, n2)

Arguments

alpha	alpha level for 1-alpha confidence
f1	number of participants in group 1 who have the attribute
f2	number of participants in group 2 who have the attribute
n1	sample size for group 1
n2	sample size for group 2

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimate of biserial-phi correlation

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Ulrich2004statpsych

Examples

ci.biphi(.05, 46, 15, 100, 100)

# Should return:
#       Estimate         SE        LL       UL
# [1,] 0.4145733 0.07551281 0.2508866 0.546141

statpsych documentation built on July 9, 2023, 6:50 p.m.