ci.stdmean.strat: Confidence intervals for a 2-group standardized mean...

In statpsych: Statistical Methods for Psychologists

Confidence intervals for a 2-group standardized mean difference with stratified sampling

Description

Computes confidence intervals for a population standardized mean difference in a 2-group nonexperimental design with stratified random sampling (a random sample of a specified size from each subpopulation) using a square root weighted variance standardizer or single group standard deviation standardizer. Equality of variances is not assumed.

Usage

ci.stdmean.strat(alpha, m1, m2, sd1, sd2, n1, n2, p1)

Arguments

alpha	alpha level for 1-alpha confidence
m1	estimated mean for group 1
m2	estimated mean for group 2
sd1	estimated standard deviation for group 1
sd2	estimated standard deviation for group 2
n1	sample size for group 1
n2	sample size for group 2
p1	proportion of total population in subpopulation 1

Value

Returns a 3-row matrix. The columns are:

• Estimate - estimated standardized mean difference

• adj Estimate - bias adjusted standardized mean difference estimate

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Bonett2020astatpsych

Examples

ci.stdmean.strat(.05, 33.2, 30.8, 10.5, 11.2, 200, 200, .533)

# Should return:
#                        Estimate adj Estimate      SE     LL     UL
# Weighted standardizer:   0.2216       0.2211 0.10052 0.0245 0.4186
# Group 1 standardizer:    0.2286       0.2277 0.10428 0.0242 0.4330
# Group 2 standardizer:    0.2143       0.2277 0.09776 0.0227 0.4059

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