I am trying to figure out how to calculate a Cohen's d statistic for a linear random effects model. I did not do the analysis myself, I have read it in a journal article so I'm left to figure it out with the information that the authors put in the article text. It concerns a linear random effects analysis of a certain treatment on IQ scores and the total sample size and sample sizes of the treatment and control groups are known.
- Total N=27
- Treatment 14
- Control 13.
Known variables for the linear random affects analysis are:
- SE of $\beta$=0.6
- p-value = 0.19.
Since I am working a a meta-analysis with all effect sizes as Cohen's d statistics (standard mean difference) I need to convert this beta to a cohen's d.