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[R-meta] Testing multicollinearity between categorical predictors

Dear Wolfgang,

Thank you for the replay. I also thought about using VIF to evaluate
multicollinearity, but there is a lot of criticism about the applicability
of VIF for categorical predictors. There is a variation called GVIF.
However, since the meta-analysis changes categorical predictors to dummy
variables, I could not use it in R. I am not sure whether this is the best
approach. Do you not other methods to evaluate or avoid potential
multicollinearity among categorical moderators?

Best wishes,

Rafael.
_______________________________________________________

*Prof. Dr. Rafael Rios Moura*

*sciencia amabilis *
Coordenador de Pesquisa e do NEPEE/CNPq
Laborat?rio de Ecologia e Zoologia (LEZ)
UEMG - Unidade Ituiutaba

ORCID: http://orcid.org/0000-0002-7911-4734
Curr?culo Lattes: http://lattes.cnpq.br/4264357546465157
<http://orcid.org/0000-0002-7911-4734>
<http://lattes.cnpq.br/4264357546465157>
<http://lattes.cnpq.br/4264357546465157>Research Gate:
https://www.researchgate.net/profile/Rafael_Rios_Moura2
<http://orcid.org/0000-0002-7911-4734>
Rios de Ci?ncia: https://www.youtube.com/channel/UCu2186wIJKji22ai8tvlUfg
<http://orcid.org/0000-0002-7911-4734>


Em sex., 19 de jun. de 2020 ?s 05:40, Viechtbauer, Wolfgang (SP) <
wolfgang.viechtbauer at maastrichtuniversity.nl> escreveu: