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On 18/08/2017 10:18, Kammy Tang wrote:
Dear metafor users,
I am working on a meta-analysis of reliability and the correlation associations.
I need some help about conducting categorical moderators variables.
Questions 1: How to conduct the weighted ANOVAs assuming a mixed-effects model
on the tranformed alpha coefficients/the tranformes correlation coefficients
for the categorical moderator variables?
Questions 2: How to calculate the average reliability coefficients for each
category of the moderator variable?
Take the reliablity generalization as an example. Here is an example of my code.
#meta-analysis using transformed alpha values (using the transformation
suggested by Bonett, 2002)
res<-rma(measure="ABT", ai=ai, ni=size, mi=n_items, dat=data)
res
backtransf_res<-predict(res, transf=transf.iabt)
backtransf_res
#meta-regression of categorical variables
#take var1 as an example of categorical moderator variable
res_var1<-rma(measure="ABT", ai=ai, ni=size, mi=n_items, mods=~var1, dat=data)
res_var1
transf_res_var1<-predict(res_var1,newmods=c(1,2,3,4,5),transf=transf.iahw,digits=2)
transf_res_var1
NOTES: var1 consists of totally 5 levels/categories.
Is it appropriate to conduct like that as the example code showed?
Is that something wrong with the "newmods=c(1,2,3,4,5)" code?
To be honest, this is my first time to use metafor package and use R, I
definitely wish to find out the results of the meta-analysis.
Any help are appreciated!!
Thanks a lot!
Sincerely,
Jiaxin
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