Open Elie-Yu opened 3 months ago
To follow up, I also did the calculation in "Practical Meta-Analysis Effect Size Calculator"
using different SDs:
<img width="564" alt="Screenshot 2024-05-18 at 11 46 11 AM" src="https://github.com/strengejacke/esc/ass
ets/140570906/3d218406-8e25-4531-b04d-8424795b160f">
I noticed there are different results when calculating effect size with information available for both treatment and control groups on sample size and the mean and SD for pretest and posttest. this comparison is between using the esc package and comprehensive meta-analysis software.
An example of data and script that I used is
In esc package: esc_mean_gain(pre1mean = 3.34, pre1sd = 1.76, post1mean = 3.28, post1sd = 2.07, grp1n = 34, pre2mean = 3.81, pre2sd = 1.79, post2mean = 8.43, post2sd = 0.83, grp2n = 34, es.type = "g") The results returns g= 2.755 var(g) = 0.3114
Using the same values in Comprehensive Meta-analysis, the results returned as follows: g= 2.9338 var(g) = 0.343
I wonder if different formula is used. Could you help me understand what leads to the difference and what results to choose from?