[R-meta] Effect size using forest plot

[Viechtbauer, Wolfgang (SP)]

Now that is a rather different case. Search help(escalc) for "Cronbach's alpha". Here, one needs to specify the observed alpha values, the number of items/replications/parts of the measurement instrument, and the sample sizes. One can meta-analyze raw alpha values, but it is usually better to apply a transformation, like those described by Hakstian & Whalen (1976) and 
Bonett (2002).

Best,
Wolfgang

>-----Original Message-----
>From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-
>project.org] On Behalf Of Gerta Ruecker
>Sent: Thursday, 13 December, 2018 16:53
>To: Julie Webbs; R meta
>Subject: Re: [R-meta] Effect size using forest plot
>
>Do the Cronbach's alpha values have a standard error?
>
>Best,
>
>Gerta
>
>Am 13.12.2018 um 16:48 schrieb Julie Webbs:
>> Yes as an exampel. Some times we have a single value, e.g, Cronbach's
>> alpha
>>
>> On Thu, Dec 13, 2018 at 3:39 PM Gerta Ruecker
>> <ruecker using imbi.uni-freiburg.de <mailto:ruecker using imbi.uni-freiburg.de>>
>> wrote:
>>
>>     You mean a mean without SD or sample size? Perhaps I still do not
>>     understand what you have.
>>
>>     Best,
>>
>>     Gerta