ci.stdmean.ps: Confidence intervals for a paired-samples standardized mean...

In statpsych: Statistical Methods for Psychologists

Confidence intervals for a paired-samples standardized mean difference

Description

Computes confidence intervals for a population standardized mean difference in a paired-samples design. A square root unweighted variance standardizer and single measurement standard deviation standardizers are used. Equality of variances is not assumed.

For more details, see Section 4.3 of Bonett (2021, Volume 1)

Usage

ci.stdmean.ps(alpha, m1, m2, sd1, sd2, cor, n)

Arguments

alpha	alpha level for 1-alpha confidence
m1	estimated mean for measurement 1
m2	estimated mean for measurement 2
sd1	estimated standard deviation for measurement 1
sd2	estimated standard deviation for measurement 2
cor	estimated correlation between measurements
n	sample size

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

Bonett2008statpsych

\insertRef

Bonett2021statpsych

Examples

ci.stdmean.ps(.05, 602.4, 705.6, 33.17, 51.08, .769, 8)

# Should return:
#                             Estimate adj Estimate      SE      LL      UL
# Unweighted standardizer:     -2.3963      -2.2185 0.65209 -3.6744 -1.1182
# Measurement 1 standardizer:  -3.1112      -2.7656 0.91362 -4.9019 -1.3206
# Measurement 2 standardizer:  -2.0204      -1.7959 0.59328 -3.1832 -0.8576

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