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

In statpsych: Statistical Methods for Psychologists

Confidence interval 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 specificied 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 - bias adjusted standardized mean difference

• 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, 30.2, 30.8, 10.5, 11.2, 200, 200, .533)

# Should return:
#                           Estimate         SE         LL        UL
# Weighted standardizer: -0.05528428 0.10023259 -0.2518410 0.1410636
# Group 1 standardizer:  -0.05692722 0.10368609 -0.2603639 0.1460782
# Group 2 standardizer:  -0.05692722 0.09720571 -0.2440911 0.1369483

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