[R-meta] Escalc function: Possible to compute single standardized mean as outcomes?

[Michael Dewey]

Dear Sera

Can I just clarify this

In the first group of studies each person recalls n words and the 
authors calculated a proportion of possible words for each person and 
then report the mean (and hopefully the standard deviation/error) of 
those proportions.

In the second group the authors just report the mean of the number of 
words again hopefully with a standard deviation/error.

Is it possible for the second group to impute the denominator which they 
would have used if they had reported in the same way as the first group? 
If they have then you can convert to mean proportions. Apologies if that 
has already occurred to you but you have discarded it as impossible.

Michael

On 24/11/2021 10:03, Sera Wiechert wrote:
> Dear all,
> 
> I would like to use the metafor package [escalc function] to calculate my effect size.
> 
> I saw that the metafor escalc function measure = MN is for raw means. However, I am looking to calculate a "standardized mean". In my studies, only a single outcome is reported (�recalled number of words�). The problem is that sometimes this is reported as a proportion (e.g., percentage recalled words of all possible study words, percentage of recalled words of possible condition-specific words) and sometimes as raw numbers. Thus, I only have one quantitative outcome variable, which is sometimes operationalized in different scales across studies.
> 
> 
> 
> This is why I had the idea to use some sort of �standardized mean� instead of the raw mean. Is this possible? And if so, is there an escalc function measure for this?
> 
> 
> 
> Many thanks in advance.
> 
> Best wishes,
> 
> Sera
> 
> 
> 
> 
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-- 
Michael
http://www.dewey.myzen.co.uk/home.html