Third Party Software

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No user picture. j.aitken Joined: 06/30/2021

Multiple Mediation Model

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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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No user picture. jaret_hodges Joined: 06/10/2021

NA p value when running anova for moderator

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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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Picture of user. crystal.jasmine Joined: 06/16/2021

Path analysis / MASEM - Is it possible to test a path analysis without bivariate correlations between all variables?

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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.

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No user picture. vildan Bağcı Joined: 12/04/2019

explained variance in cluster analysis

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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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No user picture. disciple Joined: 05/17/2021

Effect size interpretation

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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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No user picture. smh1003 Joined: 04/22/2019

Weighting and heterogeneity

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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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No user picture. Denise B Joined: 05/09/2021

FIML estimation of multiple missing covariates in a three-level meta-analysis

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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).

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No user picture. mike_n Joined: 05/06/2021

Problem with plotting using semPaths

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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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No user picture. noamm Joined: 10/10/2018

Not getting rA with umxACEv and a warning

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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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No user picture. canavati Joined: 12/01/2018

Testing interaction effects in TSSEM

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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