metaSEM

OSMASEM Questions
Dear Mike Cheung,
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How to address too many missing
Dear Dr. Cheung and colleagues,
We are trying to investigate the predictors of an outcome using longitudinal studies. Yet, there are some studies with only one or two predictors.
Is there an algorithm that allows us to handle missing correlation or remove those correlation matrices containing only one correlation coefficients?
Thanks for your time and patience.
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meta() output
I am conducting a meta-analysis comparing participants with two different diagnoses. All studies in the meta-analysis assess the linguistic construct of interest using both an expressive and a receptive subtask. We are not interested in the expressive vs. receptive contrast, so we would like to run an analysis that includes two (non-independent) effect sizes from each sample and gives us a *single* summary effect size for the construct of interest, rather than separate summary effect sizes for the receptive and expressive subtasks.
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multi-group WLS
Hi Mike,
Hope this finds you well. I'm trying to run a multi-group SEM (twin data) using summary statistics rather than raw data. I have the covariance and asymptotic covariance matrices. I think I'm hitting errors in the way I'm handling the multi-group aspect - as WLS says the following:
Error in withCallingHandlers(expr, warning = function(w) invokeRestart("muffleWarning")) :
(list) object cannot be coerced to type 'double'
I've supplied the two matrices as lists - one for each group. The script is attached.
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tssem1 model not converging
Hello,
I am having issues pooling correlation matrices with random effects. I have results from a total of ~30 studies I plan to pool. At this stage, I am trying to pool 11 of these to test things out, but when I run tssem the model never converges.
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Joint test of indirect effect x moderator
Hi Mike,
Hope you're well. I just wondered whether you had a suggestion for getting a single test of a moderator on an indirect (a*b) path using osmasem. Right now I can easily get the indirect effect itself, and estimates of it at high- and low- levels of the moderator, plus regressions of the respective paths on the moderator, but not a joint test of the indirect effect's variability as a function of the moderator... any tips?
Thanks!
Best wishes,
Pasco
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Moderator analyses in OSMASEM
Dear Mike & colleagues,
I conducted moderator analyses with OSMASEM with several moderators. When I performed OSMASEM with these moderators simultaneously and separately, it showed different estimates for moderators. Which one should be preferred?
I attached R-code and data.
Thanks for your time and patience.
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Problem Fitting SEM model with Reflective Latent Construct
I am trying to fit a MASEM model where:
- "index" is a reflective latent construct with five indicators (WE, IE, FK, EE, & NVI)
- "OB3" is a variable that is predicted by index
- "OB1" is a variable that is predicted by OB3, such that the effect of "index" on OB1 is fully mediated by OB3
The graphical representation of the model I'm trying to run is in the attached Rplot

smdMTS function, metaSEM
Dear Mike and colleagues,
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Df Difference in TSSEM
Hi Mike and colleagues,
I am trying to estimate a TSSEM model and then test the moderating effect. I am following the wonderful resources provided by you and your team. However, when I compare the constrained and unconstrained models, the difference in degrees of freedom is higher than expected.
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