[R] Confirmatory Factor Analysis

[Pat Malone]

In this particular case, lavaan  has a dedicated forum with lots of helpful
folks at https://groups.google.com/g/lavaan

On Fri, Nov 19, 2021 at 8:28 PM Bert Gunter <bgunter.4567 using gmail.com> wrote:

> Please read the posting guide linked below, which says:
>
> "Questions about statistics: The R mailing lists are primarily
> intended for questions and discussion about the R software. However,
> questions about statistical methodology are sometimes posted. If the
> question is well-asked and of interest to someone on the list, it may
> elicit an informative up-to-date answer."
>
> Also note:
>
> "For questions about functions in standard packages distributed with R
> (see the FAQ Add-on packages in R), ask questions on R-help.
> If the question relates to a contributed package , e.g., one
> downloaded from CRAN, try contacting the package maintainer first. You
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> packageDescription("packagename") to find this information. Only send
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>
> So do not be surprised if you do not get a response here. Cross Validated,
> i.e.
> stats.stackexchange.com
> *might* be a better alternative.
>
> Cheers,
> Bert Gunter
>
>
> On Fri, Nov 19, 2021 at 4:40 PM AbouEl-Makarim Aboueissa
> <abouelmakarim1962 using gmail.com> wrote:
> >
> >  Dear All:
> >
> >
> >
> > I am conducting a Confirmatory Factor Analysis (CFA) for the attached
> data.
> > Here is what I did. please see below
> >
> > I do need your help with the structure of the model. I believe that what
> I
> > used is the correlated CFA model. If I am wrong, please fix me. I need
> your
> > help with the structure of the CFA uncorrelated model.
> >
> >
> >
> > Thank you very much for your help in advance
> >
> >
> >
> > Abou
> >
> >
> >
> >
> >
> > datacfa<-read.table("G:/data_for_R.txt", header=TRUE)
> >
> > head(datacfa)
> >
> >
> >
> > install.packages("lavaan")
> >
> > library(lavaan)
> >
> >
> >
> > install.packages("semPlot")
> >
> > library(semPlot)
> >
> >
> >
> > install.packages("parameters")
> >
> > library(parameters)
> >
> >
> >
> > #### model structure
> >
> >
> >
> > CAF.Factors <- 'Factor1 =~ X11 + X13 + X14 + X15 + X17
> >
> >                             Factor2 =~ X6 + X7 + X12 + X16 + X19
> >
> >                              Factor3 =~ X9 + X18 + X21
> >
> >                              Factor4 =~ X19 + X20 + X22'
> >
> >
> >
> > fourfactors.model.a <- cfa(CAF.Factors, data=datacfa,std.lv=TRUE)
> >
> >
> >
> > summary(fourfactors.model.a, fit.measures=TRUE,standardized=TRUE)
> >
> >
> >
> > semPaths(fourfactors.model.a, ncharNodes = 0, style = "lisrel", rotation
> =
> > 2)
> >
> >
> >
> > #####  model_parameters(fourfactors.model.a)
> >
> >
> >
> > model_parameters(fourfactors.model.a, standardize = TRUE)
> >
> >
> > ______________________
> >
> >
> > *AbouEl-Makarim Aboueissa, PhD*
> >
> > *Professor, Statistics and Data Science*
> > *Graduate Coordinator*
> >
> > *Department of Mathematics and Statistics*
> > *University of Southern Maine*
> > ______________________________________________
> > R-help using 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.
>
> ______________________________________________
> R-help using 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.
>


-- 

*Patrick S. Malone, PhD*
Sr Research Statistician, FAR HARBΦR
+1 803.553.4181  |  pat@ <pat using farharbor.com>  |  farharbor.com
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