_______________________________________________________
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
Research Gate: https://www.researchgate.net/profile/Rafael_Rios_Moura2
Rios de Ci?ncia:?https://www.youtube.com/channel/UCu2186wIJKji22ai8tvlUfg
Em sex., 19 de jun. de 2020 ?s 09:50, Michael Dewey
<lists at dewey.myzen.co.uk> escreveu:
Dear Rafael
It is hard to answer here because we do not know what scientific problem
the referee thinks he or she has spotted which would be solved by such a
test. Being of a cynical world view I suspect neither does the referee
and this is a conditioned reflex like Pavlov's dog salivating at the bell.
Are the two moderators of scientific interest to you or are you
including them so you can say that there is still residual heterogeneity
even after you did your best to explain it? In the latter case I would
suggest collinearity is irrelevant.
Michael
On 19/06/2020 13:36, Rafael Rios wrote:
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:
Dear Rafael,
I don't know what "testing" for multicollinearity would entail. One could
examine the variance inflation factors with vif(). What VIF values are
considered "large" is debatable though.
Best,
Wolfgang
-----Original Message-----
From: Rafael Rios [mailto:biorafaelrm at gmail.com]
Sent: Wednesday, 17 June, 2020 2:28
To: Viechtbauer, Wolfgang (SP); r-sig-meta-analysis at r-project.org
Subject: Testing multicollinearity between categorical predictors
Dear Wolfgang and All,
Is there a good method for testing multicollinearity between categorical
predictors in meta-regression? I ran a mixed-effects MLMA using two
categorical predictors and their interaction as moderators, but a
Referee
requested a test of multicollinearity. I did not find a good approach to
solve this problem. Thank you in advance.
Best wishes,
_______________________________________________________
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
Research Gate: https://www.researchgate.net/profile/Rafael_Rios_Moura2
Rios de Ci?ncia:
https://www.youtube.com/channel/UCu2186wIJKji22ai8tvlUfg