Message-ID: <e97bc8e388c94d618489e6dca957015d@UM-MAIL3214.unimaas.nl>
Date: 2020-06-19T15:03:09Z
From: Wolfgang Viechtbauer
Subject: [R-meta] Testing multicollinearity between categorical predictors
In-Reply-To: <CAAnf+jTQfyA=+QZMaSHi_KNhqRVvQ2CxVRS44EzQr2uwn2EpcA@mail.gmail.com>
In that case, you can just use vif(). The 'generalized VIF' is only relevant when a factor variable has more than two levels and one wants to compute a VIF that pertains to the whole factor, not just each of the individual dummy variable. But if the factor only has two levels, then there is only one dummy variable, so this is the same as GVIF.
Best,
Wolfgang
>-----Original Message-----
>From: Rafael Rios [mailto:biorafaelrm at gmail.com]
>Sent: Friday, 19 June, 2020 16:35
>To: Viechtbauer, Wolfgang (SP)
>Cc: r-sig-meta-analysis at r-project.org
>Subject: Re: [R-meta] Testing multicollinearity between categorical
>predictors
>
>Dear Wolfgang,
>
>Yes, it is. Yes and no for each moderator. I am also evaluating their
>interaction.
>
>All the best,
>
>Rafael.
>
>Em sex., 19 de jun. de 2020 ?s 10:12, Viechtbauer, Wolfgang (SP)
><wolfgang.viechtbauer at maastrichtuniversity.nl> escreveu:
>I am not sure I fully understand. Are you saying that the two moderators
>have two levels each?
>
>Best,
>Wolfgang
>
>>-----Original Message-----
>>From: Rafael Rios [mailto:biorafaelrm at gmail.com]
>>Sent: Friday, 19 June, 2020 15:02
>>To: Michael Dewey
>>Cc: Viechtbauer, Wolfgang (SP); r-sig-meta-analysis at r-project.org
>>Subject: Re: [R-meta] Testing multicollinearity between categorical
>>predictors
>>
>>Dear Michael,
>>
>>Thank you for the reply. I am evaluating the biases arising from pooling
>>samples from different populations and periods on the average effect size.
>>Therefore, I included both pooling practices, and their interaction as
>>moderators. Each practice has two levels (yes and no).
>>
>>Best wishes,
>>
>>Rafael.
>>
>>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.
>>>
>>> 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