metaSEM
MetaSEM OpenMx status1:6 issue
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metaFIML to handle missing covariates
This is Jihyun, a doctoral student.
I have a question about (currently) two approaches to use FIML to handle missing covariates in meta-regression.
At first, I had adopted the code in Dr. Cheung's book (2015) using RAM formulation and recently also tried to use metaFIML after it was introduced. However, I noticed that the two approaches showed pretty big differences in the results (parameter estimates and standard error estimates).
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Confirmatory Factor Analysis
I am conducting a meta-analytic study to confirm the factorial structure of a scale using two-stage structural equation modelling.
The scale is having two subscales namely, burnout (BO) and secondary traumatic stress (STS), which load on a latent factor called "Compassion Fatigue". I want to confirm its factorial structure by meta-analysing the correlation coefficients across nine studies identified in the literature. The code I have written works fine for the first stage (TSSEM1) but it is showing an error for the second stage (TSSEM2).
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Diagnosing Optimization Issues
What approaches can be taken to diagnose issues related to optimization (i.e., when OpenMX status1 is not 0 or 1 even after using the rerun() function)? I have reviewed the status codes in the OpenMX documentation and I have tried mxCheckIdentification. I have also increased extraTries and I have played around with starting values for slope coefficients. However, I am running into issues and I am not sure why so I would like to see how I can diagnose what is going on.
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bootstrapping indirect effects
Hope you're well. I was just wondering whether there's a simple way to bootstrap the indirect effect in metasem (tssem2 or osmasem).
Thanks,
Best wishes,
Pasco
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Imputing correlations in metasem?
I have another question and I was wondering if you could enlighten me.
I want to run an analysis that has 2 independent variables, 3 mediators, and 1 outcome variable.
One of the issues that I am having is that, because of my inclusion criteria, I do not have studies that included correlations between two mediators. This means, that I cannot estimate the pooled correlation matrix hence it is impossible to run the full model.
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Missing values for impliedR() and few studies to pool
I am currently conducting TSSEM using correlation matrices from primary mediation studies. I ran into some problems during the process and hoped that someone could help me.
Differences between metafor and tssem1?
I hope everyone is well.
I was hoping someone could help me with an issue I am having. I am running a model, but first I wanted to explore the correlation matrix as you would normally do. For this, I created the correlation matrix using the metafor package. After this, I run the model using the metaSEM package, and when I checked the tssem1 results, I realised that the correlation results were very different in magnitude (significance levels did not vary).
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Implementing ImpliedR in TSSEM
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GFI Interpretation using TSSEM
I have conducted a mediating effect MASEM using the random-effect model of TSSEM, and what is surprising me is that R2 is coming 78% and RMSEA is 0.0755 but I am not able to understand how to interpret rest of the indices (SRMR, TLI, CFI) which are going out of range.
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