Third Party Software
noamm
Joined: 10/10/2018
umxACE with summary data
Hi all,
I'm trying to do something rather simple - a univariate ACE model (using umxACE) with summary data (either correlation or covariance), but until now I used only raw data. I saw in the documentation this possibility is supported by umxACE, however, I can't seem to make it work.
I've tried several options attached below (mzCorDF - the correlation as a data frame, mzCorMatrix - the correlation (or covariance) matrix of twin 1 and twin 2 of the trait.
What kind of input the function expects for it to understand it is summary data?
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jhl12
Joined: 12/14/2020
metaFIML to handle missing covariates
Dear Dr. Cheung and forum pannels,
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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Jasmeet Singh
Joined: 12/08/2020
Confirmatory Factor Analysis
Hello,
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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lf-araujo
Joined: 11/25/2020
umxCP with two latent variables that loads in only part of the indicators
Hi Tim and Mike,
This is the first time I am playing with real data, and since I understand lavaans syntax better than openMx's I decided to start with umx.
I am trying to specify a CP model with two latents, but my measured indicators represents parenting style and personality (big5), 10 variables in total. See fig 1. I think they are better conceptualized as two latents that can correlate, but only loads in part of the variables, the five personality traits and the five parenting styles.
KevinMKorous
Joined: 12/01/2020
Diagnosing Optimization Issues
Hello,
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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pascofearon
Joined: 05/07/2013
bootstrapping indirect effects
Hi Mike,
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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Max.Escaffi
Joined: 09/10/2019
Imputing correlations in metasem?
Dear all!
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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hannow
Joined: 10/21/2020
Missing values for impliedR() and few studies to pool
Hello everyone,
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.
Max.Escaffi
Joined: 09/10/2019
Differences between metafor and tssem1?
Hi all!
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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ksyoung
Joined: 10/06/2020
Implementing ImpliedR in TSSEM
Hello, I was hoping someone might be able to help with use of the impliedR function in the context of a TSSEM model. I am conducting a 2-stage SEM following the Cheung guide here: https://cran.r-project.org/web/packages/metaSEM/vignettes/Examples.html#two-stage-structural-equation-modeling-tssem
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