[R-meta] Question about MASEM with categorical predictors
Mike Cheung
m|kew|cheung @end|ng |rom gm@||@com
Sun Nov 13 02:26:24 CET 2022
Dear Catia,
Could you be more specific about how the data look like? For example,
do you have the raw data? If not, what types of summary statistics do you
have?
How many levels are in V1? How many groups are? Are there incomplete data?
--
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Mike W.L. Cheung Phone: (65) 6516-3702
Department of Psychology Fax: (65) 6773-1843
National University of Singapore
http://mikewlcheung.github.io/
<http://courses.nus.edu.sg/course/psycwlm/internet/>
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On Sat, Nov 12, 2022 at 9:17 PM Lukasz Stasielowicz <
lukasz.stasielowicz using uni-osnabrueck.de> wrote:
> Dear Catia,
>
> Disclaimer: I am not up-to-date with MASEM advances so perhaps there is
> a more user-friendly solution. Consider checking recent work by Mike
> Cheung and Suzanne Jak for references about cutting-edge methods.
>
> If you have access to raw data then one could use the parameter-based
> MASEM approach. Since it is possible to use categorical predictors in
> lavaan/blavaan, one could fit the model separately for each sample and
> then pool the estimates. This approach has a clear practical limitation:
> all variables/categories need to be assessed in all studies, which is
> not always the case.
>
> Alternatively, one could fit separate models for each category (e.g.,
> women, men). After all, stratification is just another kind of adjusting
> for variables.
>
> Some references about the parameter-based approach can be found in this
> article:
> Cheung, M. W.-L. (2021). Meta-analytic structural equation modeling.
> Oxford Research Encyclopedia of Business and Management, Oxford
> University Press. https://doi.org/10.1093/acrefore/9780190224851.013.225
>
>
> Best,
> Lukasz
> --
> Lukasz Stasielowicz
> Osnabrück University
> Institute for Psychology
> Research methods, psychological assessment, and evaluation
> Lise-Meitner-Straße 3
> 49076 Osnabrück (Germany)
> Twitter: https://twitter.com/l_stasielowicz
>
> On 06.11.2022 12:00, r-sig-meta-analysis-request using r-project.org wrote:
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> > 1. Question about MASEM with categorical predictors (Catia Oliveira)
> >
> > ----------------------------------------------------------------------
> >
> > Message: 1
> > Date: Sat, 5 Nov 2022 23:21:10 +0000
> > From: Catia Oliveira <catia.oliveira using york.ac.uk>
> > To: R meta <r-sig-meta-analysis using r-project.org>
> > Subject: [R-meta] Question about MASEM with categorical predictors
> > Message-ID:
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> gRbHhcBV1T2bPbp1zPZTg using mail.gmail.com>
> > Content-Type: text/plain; charset="utf-8"
> >
> > Dear all,
> >
> > Has any of you ever used MASEM with categorical predictors, where the
> path
> > model is "X1 ~ V1 + V2 + V3", with X1 as the outcome variable and V1 as a
> > categorical variable whilst V2 and V3 are continuous. If so, could you
> > please point me to the paper/code? I have only found examples of how to
> do
> > it with continuous predictors but never using categorical variables.
> >
> > Best wishes,
> >
> > Catia
> >
> > [[alternative HTML version deleted]]
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> >
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