With my samples (48 observations) the two methods differ a lot in their results :
d = 0.41 with Jamovi using d=(m1-m2)/SDdif
d = 0.27 (Python pingouin) using d=(m1-m2)/pooledSD
This is because the standard deviation of the differences is not the same as the pooled standard deviation of the two ...
Search found 3 matches
- Thu Aug 25, 2022 7:12 pm
- Forum: Help
- Topic: Cohen's d for T test paired samples
- Replies: 6
- Views: 31114
- Thu Aug 25, 2022 11:59 am
- Forum: Help
- Topic: Cohen's d for T test paired samples
- Replies: 6
- Views: 31114
Re: Cohen's d for T test paired samples
Hi Magojam
Thank you for your answer
In https://github.com/jamovi/jmv/blob/master/R/ttestps.b.R#L66-L68
I see that
d <- (m1-m2)/pooledSD #Cohen's d
with
pooledSD <- tryNaN(stats::sd(column1-column2))
but this is not the pooled SD, it the SD of the difference.
Python pingouin.ttest uses for the ...
Thank you for your answer
In https://github.com/jamovi/jmv/blob/master/R/ttestps.b.R#L66-L68
I see that
d <- (m1-m2)/pooledSD #Cohen's d
with
pooledSD <- tryNaN(stats::sd(column1-column2))
but this is not the pooled SD, it the SD of the difference.
Python pingouin.ttest uses for the ...
- Wed Aug 24, 2022 7:15 pm
- Forum: Help
- Topic: Cohen's d for T test paired samples
- Replies: 6
- Views: 31114
Cohen's d for T test paired samples
Hello. The Cohen's d effect size given by Jamovi (version 2.2.5.0) for T test for two paired samples is not the same as the one I calculate by hand (means dif/pooled_sd) or the one given by Python pingouin.ttest module.
For T test for independent samples, the Conhen’s d given by Jamovi is the same ...
For T test for independent samples, the Conhen’s d given by Jamovi is the same ...