Hello,
I recently started using the metafor package (version 1.6-0) in R (2.15.1, 64-bit Windows 7) and noticed that I was getting slightly different values when I manually calculated the standardized mean difference versus what escalc was giving me. Here's a very simple example: escalc(measure="SMD", m1i=5,m2i=10,n1i=5,n2i=5,sd1i=1,sd2i=2,vtype="LS") The result is: yi vi 1 -2.854599 0.8074367 However, if I calculate this manually using the pooled standard deviation formula given in Cooper et al (2009)*, I get an SMD of -2.85625 and a variance of 0.870205. The formula given in Cooper et al for the pooled standard deviation is: Swithin = sqrt(((n1i - 1) * Sd1i^2 + (n2i - 1) * Sd2i^2)/(n1i + n2i -2)) [1.581139 for my example] And the formula for variance is: Vd = (n1i + n2i)/(n1i*n2i) + d^2/(2 *(n1i+n2i)) [1.066667 for my example] Where d is: d = (m1i - m2i)/Swithin [-3.16228 for my example] These are both corrected by the correction factor J: J = 1 - 3/(4*(n1i+n2i-2)-1) [0.903226 for my example] The resulting g is [0.903226 * -3.16228] = -2.85625 and the resulting variance is [0.903226^2 * 1.06667] = 0.870205. Thus, my calculated SMD is very close to the escalc value (only 0.05% different), but the variance is nearly 8% different. I assume the difference must lie in how the pooled standard deviation is being calculated, but the help for escalc only says that the pooled standard deviation is "calculated inside the function", and I can't find the exact formula for how this is being done. I'm trying to track down a copy of Hedges and Olkin (1985), but it would be great in the meantime somebody could enlighten me. Thanks, Stephen Ban *p. 226. Cooper, H., Hedges, L., and Valentine, J. The handbook of research synthesis and metaanalysis. Russell Sage Foundation, 2009. Stephen Ban, M.Sc. Ph.D. Candidate Australian Research Council Centre of Excellence for Coral Reef Studies James Cook University Townsville, Queensland 4811 Australia Phone: +61 7 4781 6063 Fax: +61 7 4781 6722 <mailto:stephen....@jcu.edu.au> stephen....@my.jcu.edu.au [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.