Third Party Software

How to generate A matrice and S matrice for the second stage of TSSEM?
Hi Milke and all,
I'm trying to run a TSSEM to examine the mediation effect for a meta-analysis. However, I'm not sure what's the appropriate way to create the A matrice and S matrice needed for stage 2. Would you please advise?

Acceptatble Mediation Model?
Hello all,
I am doing multiple mediatiors analysis. I am wondering if we can set the diag.contraints = FALSE?
1) Anyone notices that "diag.contraints = TRUE" may lead to unfitted model?
2) What is the criteria of the acceptable MASEM model? Would it be stricter compared with SEM? Below are my resutls. Is it acceptatble (Chi-X2 ratio is very high)?
Chi-X2 (df = 5) = 115.55, p <.001, CFI = 0.94, NNFI = 0.81, RMSEA = 0.06, SRMR = 0.08.
Thank you so much for your attention and help!
Best regards,
Eva
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Error when summarize tssem1 results
I have a 26*26 matrix for 10 studies with many missing values. It costed a few hours to run the random effect model of tssem1. When I summarized the results by "summary(random1)" , the error "Error in chol.default(V) : 'a' must have dims > 0" appereared. I also noiced that many correlications are presented as "0.1".
Could anyone help to fix the error? May I know that those "0.1"s in the correlaiton matrix are resulted from the many "NA"s in the input matrices? Thank you for your great help.
The data and code are attached.
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metaSEM_Indirect effects via multiple mediators
Hello all,
I am intereseted to test the indirect effects with multiple sequential mediators. I am wondering how would it possible to estiamte it? I tried to use the R code below, but there are warnings listed below. It would be highly appreciated if anyone would provide your thoughts? Thank you so much in advance!

Regression analysis
Dear Community,
I’m trying to fit a regression model by regressing the true effect size y_strength on the true effect size y_MEP (see attached dataset). I use the following code to remove NA and unnecessary columns, as well as to specify the SEM in OpenMx:
library(metaSEM)
library(readr)
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'Fit is not finite' Error Message
Hi there,
I am running a multivariate meta analysis and running into an error code I cannot seem to resolve. In prior error messages related to this content, others have noted negative or zero values in the covariance matrix, but I'm not seeing any from the output. Any/all help you could provide would be amazing!
Context: Looking at two types of memory tasks (forward and backward) comparing deaf and hearing participants using Hedge's g effect size.
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Inequality of the sample size
Hello,
I am conducting a MASEM study using TSSEM (random-effects) approach. There are in total six variables involved (i.e., PS, PA, MA, Voc, WR, and RC) in the hypothesized model. In the tested model, PS is the predictor and RA serves as the latent variable, which can be loaded on WR and RC. And the PA, MA, Voc would serve as the mediators. I do have several questions listed below:
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umxGxE with quadratic mean effects
Hi all,
Is it possible to modify the umxGxE function to include quadratic mean effects in the case where the twins do not share the moderator? If not, can anyone refer me to an R script that estimates Purcell’s original ACE-XYZ-M model with quadratic mean effects?
Best regards,
Emilie
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Testing for Partial Invariance
Hello,
My research team is interested in testing a mediation model and comparing the coefficients of A paths (from IV to Mediators) as well as the coefficients of B paths (from Mediators to DV). To do so, we estimated a model without B paths and constrained all A paths to be equal and then compared the fit of that model to one where A paths were not constrained. Similarly, we tested a model (including A paths) where B paths were constrained versus one where they were not.
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Testing homogeneity with homoStat!
Hi everyone,
I conducted a two-stage metaSEM with fixed effect model, since the random effect model reported estimation problem (after more then 5 hours running the first stage it never gave an output!).
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