Message-ID: <293f7b026af34c0da2f5835c5660b0b3@UM-MAIL3214.unimaas.nl>
Date: 2022-03-29T10:28:05Z
From: Wolfgang Viechtbauer
Subject: [R-meta] rule of thumb miminum number of studies per factor level meta-regression
In-Reply-To: <6d2cbb20-dfd6-232a-08e4-b664dc2e1d6d@uni-osnabrueck.de>
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)