metaSEM
This forum is about the metaSEM package for meta-analysis
Mike Cheung's metaSEM package is introduced here
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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.
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).
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,
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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.
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.
Help: TSSEM Mediation model
I trust you are doing well. Thank you very much for your immense work in structural equation modelling. I'm contacting you because I'm currently working on a research project that involves implementing a two-step structural equation model.
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warning message when using metaSEM
### Insert correlation matrices
M2_Study_2a <- data.matrix(data.frame(
IV = c(1, 0.236, 0.360),
M = c(0.236, 1, 0.247),
DV = c(0.360, 0.247, 1)
))
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NA values of standard errors, z values, and p-values in my metasem output (simple mediation model)
Dear Mike and all,
First off, thanks for this great forum and for directing me to ask questions here!
I used the metasem package to test some simple mediation models (IV->Med->DV, with the direct effect included). The script is attached.
The goal of moderator analysis in metaSEM::wls()
My understanding is that moderator analysis at the 2nd stage of metaSEM approach using `metaSEM::wls()` involves multi-group analysis.
Thus, as a user I have to `subset` my data by categories of my moderator, and fit the **same model syntax** to each subset as shown below.
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