metaSEM

Hi again Mike,

I was wondering if this is possible:
Having the pooled correlation matrix and their standard errors, do you have any way to apply directly the second stage of tssem over that data? Any help would be very much appreciated.

Thanks a lot,

Laura

Hi Mike,

I'm making a lot of progress with the package but I still have some questions.
When I try to run the tssem1 I get some non-positive definite matrix.
I think it is because the determinant is lower than 0. Do you have implemented partial least square or ridge to resolve this problem?

Thank you in advantage,

Laura

Hi Mike,

I am currently trying to fit a multivariate metaSEM model. I am getting a non-positive definite matrix when fitting a random effects model, and this is likely expected due to a lot missing data in the attached datafile. Would you agree that this is the reason behind the non-positive definite error? Please also note that I tried running the model with fewer studies that provided more data (the number of studies went from 108 to 44) but the errors were the same.

Hi Mike,
I am enjoying so much your package MetaSEM, thanks a lot! This is making a great advance in meta-analysis.
I am having a bit of problem running random effects with tseem1, any help would be very much appreciated!
I am trying to replicate Digman97 using a larger sample, here an example of a reduced sample of my data and the error I got.
> random1 <- tssem1(neo$data, neo$n, method="REM", RE.type="Diag")

Dear professor Mike

I remember that you seem to mention from one of your article that a performance of MASEM model with and without artifact correction is worthy of scholarly attention.
Am I right? By the way, It has been the topic i am always wondering about since i read your article.
Corrected correlation might actually cause systematic bias, to some degree, compared to raw correlation.
However, this bias has nothing to do with performance maybe because it is more likely to do with estimation method and sample sizes.

Hi Mike,

All of your posts have been extremely helpful. However, I do have a few remaining questions.

I read that it is easier to download the OpenMX and metaSEM packages in RStudio, so that's what I did and I think it worked. I just don't know how to test it - do you have any sample data sets that I could plug into a session to see if it works?

Also, do you recommend sticking with R instead of RStudio? We will be using it for an extensive project and don't want to run into problems down the line if RStudio doesn't work as well as R.