Third Party Software
tbates
Joined: 07/31/2009
Onyx, a Structural Equation Modeling (SEM) Graphical User Interface
It is designed to allow users to build and fit SEMs intuitively and fast, to ease the introduction of Structural Equation Models for beginners, and simplify the transition to more complex SEM scripting languages.
Onyx is developed in cooperation of the Mathematical Psychology Lab at UVa and the Formal Methods Project at the Max Planck Institute for Human Development.
Onyx provides import from and export to OpenMx.
tbates
Joined: 07/31/2009
This forum is about the metaSEM package for meta-analysis
Mike Cheung's metaSEM package is introduced here
Post questions to this forum
mspiegel
Joined: 07/31/2009
Third Party Software
- Read more about Third Party Software
- 4 comments
- Log in or register to post comments
quentin123
Joined: 11/18/2024
Deleted - Answered already
- Read more about Deleted - Answered already
- Log in or register to post comments
Tooglad
Joined: 05/14/2024
plotting the mediation model
I am currently working on a research project that involves implementing a two-step structural equation model. My question is whether anxiety mediates the relationship between mindfulness and meaning. However, the code for plotting the mediation model is not displaying the mediator variable in the right box. Below is the code I tried:
# Proposed model
model <- "Meaning ~ c*Anxiety + b*Mindfulness
Mindfulness ~ a*Anxiety
Anxiety ~~ 1*Anxiety"
plot(model, color="yellow")
- Read more about plotting the mediation model
- 5 comments
- Log in or register to post comments
miljanski
Joined: 09/13/2024
Testing publication bias when using 3-level meta-analysis
I have read through the metaSEM manual, and almost all of the articles and tutorials that prof. Cheung published on his gihtub but can't seem to find the answers to two relatively unrelated questions, and hope that you will be able to provide guidance.
I am using metaSEM (TSSEM and OSMASEM) to construct a Theory of planned behavior meta-analysis model for my Ph.D. thesis, as well as to conduct several 3-level univariate meta-analyses, having in mind that my data includes several studies that reports data on two independent samples.
jennies001
Joined: 10/19/2023
Using "mxAlgebras" to compare indirect effects
I am currently using the wls() function from the MetaSEM package to conduct mediation analysis with two parallel mediators. My code successfully estimates the indirect effects and their significance using likelihood-based confidence intervals. However, I am curious about estimating the difference between these indirect effects (e.g., between the two indirect effects).
janekim
Joined: 04/21/2024
TSSEM 2
My name is Jane Kim and I'm working on the TSSEM using https://sjak.shinyapps.io/webMASEM/.
#1.
I attempted to generate the unrestricted average correlation and summary output of fitting a multivariate meta-analysis with the tssem() function of metaSEM. However, an error has occurred. Please help me solve this error.
#2.
I am not sure how to deal with the missing values. Another dataset using 10 studies has some duplicates in correlations. Do I need to average each correlation?
Thank you so much,
- Read more about TSSEM 2
- 15 comments
- Log in or register to post comments
verdendi
Joined: 05/05/2024
How to do a pairwise deletion for TSSEM1 and 2
I hope you are doing well.
I am trying to do meta analysis for SEM papers, using TSSEM1 and 2 functions in MetaSEM packange.
It would be highly appreciated if you answer how we can use a pairwise deletion approach with TSSEM 1 and 2 functions.
The scope of literature for our meta analysis is quite broad and there are many missing values for pairs of the variables. I cannot use a normal way to pool the correlation matrix by using TSSEM 1. So I decided to do a pairwise deletion approach.
jennies001
Joined: 10/19/2023
Defining Level 2 clusters in three-level meta-analysis
I've recently been exploring the fascinating method of three-level meta-analysis for handling dependent effect sizes and incorporating correlations among them. In my research, I came across an insightful guide by Cheung (2019) that highlights the benefits of this approach.