ci.slope.prop.bs: Confidence interval for a slope of a proportion in a...

In statpsych: Statistical Methods for Psychologists

Confidence interval for a slope of a proportion in a single-factor experimental design with a quantitative between-subjects factor

Description

Computes a test statistic and an adjusted Wald confidence interval for the population slope of proportions in a one-factor experimental design with a quantitative between-subjects factor.

For more details, see Section 4.4 of Bonett (2021, Volume 3)

Usage

ci.slope.prop.bs(alpha, f, n, x)

Arguments

alpha	alpha level for 1-alpha confidence
f	vector of frequency counts of participants who have the attribute
n	vector of sample sizes
x	vector of quantitative factor values

Value

Returns a 1-row matrix. The columns are:

• Estimate - adjusted slope estimate

• SE - adjusted standard error

• z - z test statistic

• p - two-sided p-value

• LL - lower limit of the adjusted Wald confidence interval

• UL - upper limit of the adjusted Wald confidence interval

References

\insertRef

Price2004statpsych

\insertRef

Bonett2021statpsych

Examples

f <- c(11, 15, 20, 27)
n <- c(60, 60, 60, 60)
x <- c(10, 20, 30, 40)
ci.slope.prop.bs(.05, f, n, x)

# Should return:
#    Estimate          SE      z       p          LL         UL
# 0.008688525 0.002566409 3.3855 0.00071 0.003658456 0.01371859

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