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The expected value of a random variable; or a location measure for a sample.

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) + theme_minimal(); We have standard deviations and means for each of the four cells, so we can standardize those (e.g. using the grand mean and the standard deviation of the total sample) to … get four means that each represent the deviation from the grand mean in standard deviations. For example, for one study, we have: means <- c(0.32, 0.28, 0.36, 0.54); sds <- c(0.41, 0.41, 0.41, 0.58 …
asked Aug 17 '17 by Matherion
1
vote
with what you'd expect: if you compute the grand mean for $1$, $2$, and $3$ with three samples with the same standard deviation and sample size, you also get $2$. Now, if we'd change the size of the … first group to $30$, if you compute the grand mean, you get: $$\frac{30 * 1 + 10 * 2 + 10 * 1}{30 + 10 + 10} = 1.6$$ But, entering this into rma and escalc yields $1.9778$: rma(escalc(measure="MN …
answered Aug 17 '17 by Matherion