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 [[alternative HTML version deleted]]

Dear Kammy You might get better responses on the mailing list dedicated to meta-analysis in R https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis Note you need to register first before posting. 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 > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > --- > This email has been checked for viruses by AVG. > http://www.avg.com > >-- Michael http://www.dewey.myzen.co.uk/home.html