Hi all,
Can we control covariates (i.e., age, SES, problem type) in metaSEM? To be more specific, can I add them directly to the model like regression?
Thank you!
Hi all,
Can we control covariates (i.e., age, SES, problem type) in metaSEM? To be more specific, can I add them directly to the model like regression?
Thank you!
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Dear Xin Lin,
Yes, you may refer to the following paper.
Jak, S., & Cheung, M. W. -L. (2019). Meta-analytic structural equation modeling with moderating effects on SEM parameters. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000245
The R code for the examples is available at https://github.com/mikewlcheung/code-in-articles/tree/master/Jak%20and%20Cheung%202019
Best,
Mike
Dear Dr. Cheung,
Thanks for getting back to me! I have read the paper and used the code with my data. I am trying to conduct a TSSEM with moderators. Yet, that paper only included codes for OSMASEM.
I have tried to modify the OSMASEM code for TSSEM using
random2 <- tssem2(random1, model.name="Moderator with WPF", Amatrix=M1a, Smatrix=S1, intervals.type="z")
and got that Error message
Error in (function (cl, name, valueClass) :
‘name’ is not a slot in class “list”
Can we conduct a moderation analysis with TSSEM?
I appreciate your help!
Best,
Xin
Dear Xin,
yes you can do that. Look at this article (Jak/Cheung 2018: Testing moderator hypotheses in meta-analytic structural equation modeling using subgroup analysis):
https://link.springer.com/article/10.3758/s13428-018-1046-3
Best,
Marius
Dear Marius,
Thank you for sharing this article!
Best,
Xin
Dear Xin,
tssem2() does NOT allow continuous moderators. As shown in the paper, it is osmasem() which allows moderators.
Best,
Mike
Dear Dr. Cheung,
Thanks for making this clear to me. It is really helpful!
Best,
Xin