Message-ID: <9E3BDB3C-39D1-402C-840C-E0193030C67E@pollerhoff.de>
Date: 2022-03-30T07:19:21Z
From: Lena Pollerhoff
Subject: [R-meta] rule of thumb miminum number of studies per factor level meta-regression
In-Reply-To: <293f7b026af34c0da2f5835c5660b0b3@UM-MAIL3214.unimaas.nl>
Dear Wolfgang and Lukasz,
Thank you both for the information! I will go trough these sources!
Best
Lena
> Am 29.03.2022 um 12:28 schrieb Viechtbauer, Wolfgang (SP) <wolfgang.viechtbauer at maastrichtuniversity.nl>:
>
> And to go along with this:
>
> https://cran.r-project.org/package=metapower
>
> Also, in case you are dealing with dependent effect sizes, this is also relevant:
>
> https://www.jepusto.com/publication/power-approximations-for-dependent-effects/
>
> Best,
> Wolfgang
>
>> -----Original Message-----
>> From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org] On
>> Behalf Of Lukasz Stasielowicz
>> Sent: Monday, 28 March, 2022 19:26
>> To: r-sig-meta-analysis at r-project.org; Lena Pollerhoff
>> Subject: Re: [R-meta] rule of thumb miminum number of studies per factor level
>> meta-regression
>>
>> Dear Lena,
>>
>> as Wolfgang has pointed out, it's a rather complex topic.
>> In general, power is rather low in moderator analyses and depends on
>> several factors.
>> You'll find a short introduction in the following book (e.g. Chapter 6):
>> Pigott, T. (2012). Advances in meta-analysis. Springer Science &
>> Business Media. https://doi.org/10.1007/978-1-4614-2278-5
>>
>> Since you're working in Germany you can probably access Springer ebooks
>> for free.
>>
>> Best,
>> Lukasz
>> --
>> Lukasz Stasielowicz
>> Osnabr?ck University
>> Institute for Psychology
>> Research methods, psychological assessment, and evaluation
>> Seminarstra?e 20
>> 49074 Osnabr?ck (Germany)