R help - Mar 2022 - EFA with Complex Survey Data (Incl. Replicate Weights)

Hello,


I am a doctoral student, completing my dissertation using the public HSLS2009
survey data. I am interested in running an exploratory factor analysis (EFA) and
need to apply both the child weight and replicate weights. I found some
information on applying weights in EFA
(https://r-survey.r-forge.r-project.org/survey/html/svyfactanal.html), however I
have not found information on how to apply multiple replicate weights. Can
anyone please help me with a resource that can assist?

Thank you kindly,

Lybrya Kebreab
Doctoral Candidate
Education-Mathematics Education Track
School of Teacher Education
College of Community Innovation and Education
University of Central Florida


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Lybrya,

You might have better luck on SEMNET. Responses won't necessarily be
specific to R, but that's where to find a concentration of experts on
factor analysis in a variety of contexts.

You have to have a LISTSERV account to log in, but you can follow this link
to both set up an account and then subscribe to the list.
https://listserv.ua.edu/cgi-bin/wa?A0=SEMNET

Pat



On Fri, Apr 1, 2022 at 4:14 AM Lybrya Kebreab <Lybrya.Kebreab at ucf.edu>
wrote:
> Hello,
>
>
> I am a doctoral student, completing my dissertation using the public
> HSLS2009 survey data. I am interested in running an exploratory factor
> analysis (EFA) and need to apply both the child weight and replicate
> weights. I found some information on applying weights in EFA (
> https://r-survey.r-forge.r-project.org/survey/html/svyfactanal.html),
> however I have not found information on how to apply multiple replicate
> weights. Can anyone please help me with a resource that can assist?
>
> Thank you kindly,
>
> Lybrya Kebreab
> Doctoral Candidate
> Education-Mathematics Education Track
> School of Teacher Education
> College of Community Innovation and Education
> University of Central Florida
>
>
>         [[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.
>

-- 

*Patrick S. Malone, PhD*
Sr Research Statistician, FAR HARB?R
+1 803.553.4181  |  pat@ <pat at farharbor.com>  |  farharbor.com
*This message may contain confidential information; if you are not the
intended recipient please notify the sender and delete the message.*

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hi!  after loading the survey library, i believe you might want to create a
`svrepdesign()` object that matches the SAS syntax published here?

https://nces.ed.gov/surveys/hsls09/pdf/2011328_1.pdf#page=174

...not sure if you need combined.weights = FALSE option added to the
svrepdesign() call, but it looks like your complex survey design should
look roughly like this?

hsls09_design <- svrepdesign( data = data_frame_with_hsls09 ,
type="BRR",
weights = ~w1student , repweights="w1student[0-9]+" )

from there, you could look to the examples posted on the ?svyfactanal help
page and use your design=hsls09_design rather than the example dataset
design=dclus1












On Fri, Apr 1, 2022 at 4:14 AM Lybrya Kebreab <Lybrya.Kebreab at ucf.edu>
wrote:
> Hello,
>
>
> I am a doctoral student, completing my dissertation using the public
> HSLS2009 survey data. I am interested in running an exploratory factor
> analysis (EFA) and need to apply both the child weight and replicate
> weights. I found some information on applying weights in EFA (
> https://r-survey.r-forge.r-project.org/survey/html/svyfactanal.html),
> however I have not found information on how to apply multiple replicate
> weights. Can anyone please help me with a resource that can assist?
>
> Thank you kindly,
>
> Lybrya Kebreab
> Doctoral Candidate
> Education-Mathematics Education Track
> School of Teacher Education
> College of Community Innovation and Education
> University of Central Florida
>
>
>         [[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.
>
	[[alternative HTML version deleted]]