Third Party Software
Xin Lin
Joined: 06/10/2019
Unable to read data
Hi Dr. Cheung and colleague,
I am trying to mimic your codes in your metaSEM article (cheung, 2018). I construct a fake dataset and try the tssem1 as following
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juan_q
Joined: 06/17/2019
Complex latent models withing ACE?
Hello,
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Sepidehe
Joined: 05/24/2019
OpenMx status is 6
Dear Mike and colleagues,
I am trying to conduct a metaSEM analysis with 11 variables and 111 studies. However, I am stuck at the early stages as the OpenMX status is 6. Due to this issue, I removed all the studies with only one input (i.e., corrected correlation for unreliability) and performed the analysis again but the problem still persists. I am attaching my data as well as the results of my analyses. I would appreciate if you could help me figure this issue out.
Many thanks,
Sepideh
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nbl
Joined: 05/08/2019
Multiple Effect Sizes Within Studies - Prior to Step 1
Thank you for allowing me to join this community!
I want to conduct a small TSSEM using individual participant data from six studies. Since I have the raw data for each study, I am running into a problem with multiple measures of single constructs. Essentially, I have many relationships, but I don’t have many studies. Here is a simplified example of four constructs in one study, using different measures:
Predictor1 – Measure A
Predictor1 – Measure B
Predictor2 – Measure A
Predictor2 – Measure B
Predictor2 – Measure C
smh1003
Joined: 04/22/2019
Unable to run meta-SEM due to missing data
First of all, I am grateful for asking my question to this forum where gurus of meta-SEM are helping people like me.
I am currently conducting meta-SME with the theory of planned behavior by following the example of Scalco17 in this website.
https://cran.r-project.org/web/packages/metaSEM/vignettes/Examples.html#scalco17
It seems my dataset work pretty well, but something is messing up the analysis.
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Aivil
Joined: 03/14/2019
Help Plotting Observed and Estimated Model Means in OpenMx - Growth Models
Hello,
I have been fitting different growth models to my data, and I would like to plot the observed and estimated model means in OpenMx.
I would like to obtain similar graphs to the ones attached, which are produced in Mplus. The paper they belong to is: (https://academic.oup.com/jpepsy/article/39/2/188/885587#supplementary-data)
Do you have any advice for that?
Many thanks.
blazej
Joined: 11/20/2018
Calculate sample size for an indirect effect using simsem
Please note - I posted this on simsem github but I feel here is more adequate
(https://github.com/simsem/simsem/issues/55)
Hello,
I'm somehow new to the subject of running simulations and would very much appreciate some help in sorting out how to set up code for estimating sample size to observe an indirect effect in a setup like this:
https://user-images.githubusercontent.com/22635132/51598061-058a0000-1efd-11e9-94b7-f7722cab2cb3.png
Values represent typical effect sizes observed in previous research.
Bln222.
Joined: 08/27/2018
is it possible to allow moderators to vary at study level with meta3?
Dear all,
I'm performing a three-level meta-analysis, and I have three dummy variables (X1, X2 and X3) that refer to moderator effects. I wonder whether I can allow these moderator variables to vary across studies, and what would be the code in case this option was possible?
My code looks like this now:
h<-summary(meta3(y=d, v=s2e_g, x=cbind(X1, X2, X3), intercept.constraints=0, cluster=study, data=mydf))
Frank Lin
Joined: 12/27/2018
Mediation Effect with inclusion of LatentVariable.
Dear Mike and colleagues,
I am trying to test the association between social effectiveness and consumer's impulsive buying tendency(IBT), which is also hypothesised as being mediated by hedonic shopping values. The social effectiveness is latent variable that is manifested by the bif five personalities. The data set and the R script are attaced. The label names for these variables are A,C,ES,E,O,IBT,SE(hedonic shopping values),g(the latent variable).
Liz
Joined: 04/20/2016
How to summarize umx results?
Dear umx experts,
I am new to umx. May I ask how could I get the a2,c2,e2 and their CIs from the results of umxACEv, as I did with OpenMx? And how could I calculated the genetic correlation between two phenotypes with umx? I tried the demo data and found that the summary of the estimated model only reported a1,c1,e1,a2,c2,e2, and the c in umxACEv is negative. I also tried a univariate ACE model. The cl was blank. May I ask how could I use these information to summary the results which are generally reported? Any kind suggestions would be appreciated.
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