Third Party Software

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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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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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.

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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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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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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FIML estimation of multiple missing covariates in a three-level meta-analysis
Dear fellow researchers,
I am currently writing my PhD thesis in psychology. Part of my thesis is a **three-level meta-analysis** of the relationship between personality (i.e. conscientiousness) and self-efficacy in school students (in primary and secondary education).

Problem with plotting using semPaths
Dear professor Cheung,
I am running into a problem with plotting my model. I have included the replicated data, and my script. My error is that:
Error in if (Layout[x[1], 2] != Layout[x[2], 2]) return(0) else return(sum(Layout[Layout[, :
missing value where TRUE/FALSE needed
I’ve tried to search this error online, but I did not prevail. I hope you can take a quick peek and help me with this problem. I’d really appreciate your time.
Sincerely,
Mike
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Not getting rA with umxACEv and a warning
Hi,
I'm using umxACEv to check correlations between ACE components of 4 characteristics.
The model runs without a problem, and I get correlations for C and E components, but not for A, and I get the following warning:
Warning message:
In sqrt(I * A) : NaNs produced
I don't see something suspicious with the A std paths so I have no idea how to start finding out what might be the problem and would appreciate your help!
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Testing interaction effects in TSSEM
Dear Mike,
Thanks for being so helpful in previous instances that we've had a question about metaSEM. metaSEM has made it possible for us to conduct meta-analysis beyond anything we envisioned was possible 5 years ago.
We would like to test whether the exogenous variables in our model interact with each other with respect to each endogenous variable in our model.
There are four exogenous variables: UNIres, TTOres, REGres, and uSize
There are also four endogenous variables: LicRev, LicNum, Spin, and Perf
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