does anyone have a suggestion for an expedient way to calculate confidence intervals on effect sizes (cohen's D) for dependent-samples (edit: within-subjects) t-tests?
For a meta-analysis, I've extracted results for multiple papers. All use the same design: within-subjects designs in which each subject receives Treatment 1 and Treatment 2. A t-test is run to determine whether there is a difference in performance between Treatment 1 and Treatment 2. I have the sample size, the t-statistic, and used that to calculate cohen's D.
Now I am looking for a fast way to calculate the 95% CI on those d values. Online calculators, Excel calculators, and R packages that I've attempted all specify independent samples designs (Group 1 vs. Group 2). The data I have are one-sample designs...
Thanks in advance for any help!