metaSEM
rafael.lionello
Joined: 11/22/2016
how to improve (poor) fit indices
Hi all, Hi Mike,
I want to test five rival conceptualizations of a construct (service quality) through path analysis with the two stage approach meta-analytic structural equation modelling (with the metaSEM in R). I am using a path analysis instead of a factor analysis since the dimensions' construct are discussed to be formative rather than reflective. In all five models, I have three or four exogeneous variables and one endogeneous variable (the endogeneous variable is the same for all models, that is, behavioral intention).
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Rroquet
Joined: 11/18/2016
NA values in base model output and OpenMx status1: 5
I am currently in the process of running a meta analysis using the metaSEM package in OpenMx. As you can see in the first pass at the base model I am getting NA values for Std.Error, lbound, ubound, z value and Pr(>|z|) for both Tau2_2 and Tau2_3. In addition, the OpenMx status1: 5, which I found meant "5: means that the Hessian at the solution is not convex." However I am unclear how to resolve this as a problem.
forscher
Joined: 03/05/2013
Heterogeneity indices and constraints on the between-studies variance-covariance matrix
Hi all, hi Mike,
I am asking a question in reference to this project (https://osf.io/awz2p/). I am revising a paper based on the project in response to reviewer comments.
For most analyses in this project, we fit multivariate meta-analytic models, estimating 11 quantities across all studies. Of course, not every study contributes an estimate of each quantity, so the between-studies variance-covariance matrix is constrained such that all variances are equal and all covariances are equal. This ensures that the model is identifiable.
Xie
Joined: 12/23/2015
The minimum number of studies to examine the mediator using metaSEM
Dear Mike,
I'm Yu Xie. Now I am conducting a meta-analysis using metaSEM, examining a mediator between two variables. I only identify 3 studies in this meta-analysis. I am just wondering that is there any minimun number of studies to examine the mediator using metaSEM?
Best wishes,
Yu Xie
nastjuscha
Joined: 06/28/2016
Looking for a global factor for the latent factors
Dear Mike,
thank you very much for your metaSEM-package, I really enjoy working with it!
I tested a model with 8 variables and 3 latent factors and now I would like to check, if there is a common factor for these three latent factors at the superordinate level - is it possible with metaSEM? I was looking for specifications like Gamma matrix in LISREL, but I unfortunately couldn't find anything.
Thank you!
Best wishes,
Nastja
jasperd
Joined: 06/28/2016
Possible bug and question: Variable name interference with dummy variable name & Average effect size
Hi Mike,
I have two questions, both are related to finding the average effect size of categories in covariates with metaSEM. I've been trying to find the correct way to find the average effect sizes and have found a variety of results for different approaches. One of the reason for these differences seem to be related to my first question/issue, and may be a bug. The second question is simply about the correct way to find average effect sizes.
crystalzsq
Joined: 08/23/2016
missing data
How to deal with the missing data using MetaSEM package? (Almost all the variables have missing data and these data are missing at completely random)
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grafvale
Joined: 08/22/2016
Overlap of input matrices (missing variables)
Hello,
I am Valerie, 25 years old and absolutely fascinated by applying Metasem respectively TSSEM by using metaSEM. When I was doing my first analysis, I came across a problem concerning the input data respectively the input correlation matrices and did not find an solution so far:
Let's say, I have two studies, which are dedicated to the same topic, but slightly differ in their observed variables, what is also reflected in their correlation matrices.
1) Study1 shows a correlation matrix with the variables x1,x2,x3
2) Study2 shows a corrleation matrix with the variables x1,x2,x4
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Juanda
Joined: 05/18/2016
Output interpretation
Dear Mike,
I fitted a saturated path model over 3 exogenous variables (MO, EO, LO), 1 mediator (INN) and 1 response variable (PERF), but the results are contradictory.
I want to determine the nature of the mediation role of INN (full mediation or partial mediation).
The analysis through direct effects are no consistent with the indirect effects.
I attach the dataset and the commands in R.
Is the model well specified? How can I interpret this output?
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Arin A
Joined: 07/04/2016
Parameter Based MetaSEM
Hello all,
I am trying to conduct a parameter based MetaSEM. My model includes several mediators which are in parallel, and one mediator in series with the others (Attached is the figure summarising the model).
I have tried to run the code, however, R is giving me the following error message:
Error in (function (x, n, standardized = TRUE, direct.effect = TRUE, run = TRUE) : length of 'dimnames' [1] not equal to array extent
Error: object 'indirect1' not found
I have attached the code I am currently using.
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