Learn R Programming

statpsych (version 1.7.0)

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

Description

Computes a confidence interval for a population 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)

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

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

References

Ulrich2004statpsych

Examples

Run this code
ci.biphi(.05, 46, 15, 100, 100)

# Should return:
#  Estimate         SE        LL       UL
# 0.4145733 0.07551281 0.2508866 0.546141


Run the code above in your browser using DataLab