Confidence intervals for a 2-group standardized mean difference
Source:R/statpsych1.R
ci.stdmean2.Rd
Computes confidence intervals for a population standardized mean difference. Unweighted, weighted, and single group variance standardizers are used. The square root weighted variance standardizer is recommended in 2-group nonexperimental designs with simple random sampling. The square root unweighted variance standardizer is recommended in 2-group experimental designs. The single group standard deviation standardizer can be used with experimental or nonexperimental designs. Equality of variances is not assumed.
Value
Returns a 4-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
Bonett DG (2008). “Confidence intervals for standardized linear contrasts of means.” Psychological Methods, 13(2), 99–109. ISSN 1939-1463, doi:10.1037/1082-989X.13.2.99 .
Examples
ci.stdmean2(.05, 35.1, 26.7, 7.32, 6.98, 30, 30)
#> Estimate adj Estimate SE LL UL
#> Unweighted standardizer: 1.174493 1.159240 0.2844012 0.6170771 1.731909
#> Weighted standardizer: 1.174493 1.159240 0.2802826 0.6251494 1.723837
#> Group 1 standardizer: 1.147541 1.117605 0.2975582 0.5643375 1.730744
#> Group 2 standardizer: 1.203438 1.172044 0.3120525 0.5918268 1.815050
# Should return:
# Estimate adj Estimate SE LL UL
# Unweighted standardizer: 1.174493 1.159240 0.2844012 0.6170771 1.731909
# Weighted standardizer: 1.174493 1.159240 0.2802826 0.6251494 1.723837
# Group 1 standardizer: 1.147541 1.117605 0.2975582 0.5643375 1.730744
# Group 2 standardizer: 1.203438 1.172044 0.3120525 0.5918268 1.815050