[R-meta] Subgroup analyses under the multi-level (3 level) meta-analysis model

[Saya Fujita]

Dear All,

I am conducting a 3-level multi-analysis, following this Bookdown.
https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/mlma.html

I would like to run some sub-group analyses under this 3 level structure, and I can see in this bookdown (chapter 12.1) that if I use rma.mv function in metafor, we need to create two variables/columns for each subgroup level. In the example in this book down, the number of sub-groups was two: peer-review, dissertation, so it makes sense that they coded 1 (yes) or 0 (no).

In my data I have more than two subgroups, and I wonder how I should input the data. I thought, if I have 4 subgroups for instance, I’d create 4 columns and code 0 or 1 in each column, but that would group 3 different levels as 0 in one column, and specifying one variable/column as a moderator in rma.mv using the mods parameter would compare one subgroup with the other three subgroups – which is not what I want to do. Hope this makes sense!

I wonder if anyone here has done a subgroup analysis for multiple subgroup comparisons, maintaining the 3 level structure of a multi-level meta-analysis? Could I ask how you did the analysis?

Thank you very much in advance, and I apologise if it’s a very simple/naïve question!

Many thanks,
Saya

*********
Sayaka Kidby (Fujita)| PhD candidate, Marie Skłodowska-Curie Early Career Researcher [she/her]
Psychology | Lancaster University
s.kidby using lancaster.ac.uk<mailto:s.fujita1 using lancaster.ac.uk>
www.lancaster.ac.uk<https://www.lancaster.ac.uk/>

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