metaSEM
g.iuli
Joined: 11/13/2021
Testing homogeneity with homoStat!
Hi everyone,
I conducted a two-stage metaSEM with fixed effect model, since the random effect model reported estimation problem (after more then 5 hours running the first stage it never gave an output!).
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srinivas_b
Joined: 09/08/2021
Conducting a metaSEM on two-arm randomized controlled trial data
Hello Mike,
We are working on a meta-analysis of RCTs, looking at the efficacy of brain stimulation (active vs sham TMS) in reducing OCD severity as the primary outcome, along with secondary outcomes as reduction in anxiety and depression severity. We have 17 studies included in this analysis.
Dabiriyan.
Joined: 06/17/2020
Using three-level meta-analysis in OSMASEM
Dear all,
I am currently working on MASEM to assess the direct effect of LSC on ASB as well as the indirect effect of LSC on ASB via SB.
I have a question about how to use the three-level meta-analysis in OSMASEM for studies that did not provide the correlation coefficient of an aggregated measure between LSC, SB, and ASB. In this respect, some studies provide multiple effect sizes for a single relationship.
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shaun.hkw
Joined: 07/04/2021
Heywood case when modelling second-order factor
Hi all,
First time poster here.
# Query 1 ---
I am running the metaSEM package and I am fitting a measurement model with the following specification:
- 10 indicators
- 4 first order factors
- 1 second/higher order factor
All input matrices are correlation matrices.
j.aitken
Joined: 06/30/2021
Multiple Mediation Model
Hello,
I am using metaSEM and random-effects TSSEM to estimate a multiple mediation model. There is a single (exogenous) IV, there are six (endogenous) Mediators, and there is a single (endogenous) DV -- thus, there are six indirect effects. Although the model seems to run correctly there are a couple issues I am running into. I would really appreciate guidance on this!
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jaret_hodges
Joined: 06/10/2021
NA p value when running anova for moderator
My colleagues and I are running into an issue where we are comparing a model between two groups of correlations. The two groups are categorically different (e.g. gender). So, for example, we have a set of correlations for boys and another set for girls. When we compare our two models, using anova (e.g. anova (fit1, fit2)) then we get an NA for our p value.
base comparison ep minus2LL df AIC diffLL diffdf p
Boys Girls 5 22.42174 -5 32.42174 -17.81253 0 NA
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crystal.jasmine
Joined: 06/16/2021
Path analysis / MASEM - Is it possible to test a path analysis without bivariate correlations between all variables?
Hello!
I have a few questions about MASEM I hope you can help me with. We conducted a random-effects three-level meta-analysis looking at the effects of five predictors on an outcome. We coded the correlations between the predictors and the outcome and then conducted a moderation analysis to compare these predictors in their strength of association with that outcome using Pearson's r correlation effect sizes.
vildan Bağcı
Joined: 12/04/2019
explained variance in cluster analysis
Hi, i want to ask two question about cluster analysis. In MASEM analysis, i made a cluster analysis according to sample type (older, younger). And the homogenity test which assumes correlation matrix between the studies was rejected.
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disciple
Joined: 05/17/2021
Effect size interpretation
Dear Dr. Cheung,
I am using the calEffSizes function from your metaSEM package to calculate effect sizes for a cross-lagged model with two variables (one is continuous from 1 to 5 and the other is categorical from 0 to 4) across three time points. I am not sure if my code is correct and so could you help me check it? Assuming the code is correct, how do we interpret those effect sizes? Are they similar to Cohen'd? Please find the data in the attachment. Thank you!
Best,
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smh1003
Joined: 04/22/2019
Weighting and heterogeneity
Dear Dr. Cheung,
I wrote a manuscript using OSMASEM and submitted it to a journal.
I recently got reviewer's comments asking about the weighting and heterogeneity of OSMASEM.
My understanding is that the method use sample size weighting, and heterogeneity can be explained by Tau2, which is between-study variances.
I was wondering if I could have your advice to deal with these comments.
I have read articles related to OSMASEM several times, but I wasn't able to get a clear answer for them due to my lack of understanding:(
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