Third Party Software

Formative Model with TSSEM
Hi there,
I am using A/Prof Mike Cheung's TSSEM (See: https://dl.dropboxusercontent.com/u/25182759/Fixed%20and%20Random%20Effects%20Meta%20Analytic%20Structural%20Equation%20Modeling.pdf). The 2nd stage of this method is constructing a path model (a SEM model) based on the A, S, and F matrices of OpenMx.
Mike's examples (as well as the examples of OpenMx) show only 'reflective models' (i.e., the arrows of paths are from a latent variable to its elements.
My question is: can we build formative models (i.e., the arrows of paths are from elements to a latent variable)?
- Read more about Formative Model with TSSEM
- 1 comment
- Log in or register to post comments

Paths appear to be fixed to 1.000 when fitting the structural model in Stage 2.
Dr. Mike,
I am running multiple structural models and appear to have the same issue with all the models. In each of the outputs the certain paths appear to be fixed to 1.0 and another value.
For instance in the structural model, EU -> BI -> U (files EUBIU.dat & EUBIU.R), the paths from EU -> BI = 1 and the path from BI -> U = 1.
Another model (files PUEUBI.data & PUEUBI.R), the paths EU -> PU = 1.0, while the paths from EU -> BI and PU -> BI are both equal to 1.0.
I think I may be constraining these paths to be either equal to 1.0 or equal to each other.

metaSEM and control variables
Dear all,
- Read more about metaSEM and control variables
- 2 comments
- Log in or register to post comments

what if three level turned out to be unnecessary?
After model comparison with 'anova()' command, variation in level 3 turned out to be not significant which means that 3 level approach can be inappropriate for the data.

[3 level meta analysis] is tau^2= zero possible?
My clustered several variables into a model. this set below is one of them
Overall, 6 clusters including the data set below are created.
I chose 3 level meta analysis cause level 3 is proven to be preffered according to anova() comparison.
However, Tau2_2 in the data is extremely low almost 0 with 3 decimal. this is the same for all other clusters.
and the overall model.
My question is that is there any constraint that works? or is it possible outcome?
Call:
meta3(y = fisherz, v = v, cluster = id, x = cbind("dis", "review"),
- Read more about [3 level meta analysis] is tau^2= zero possible?
- 3 comments
- Log in or register to post comments

[Three-level meta-analysis] how to integrate all sort of variables in a model?
For example ,
I would like to integrate all significant variables into one model to see if tau index is significantly decreased.
But I realized that , from the example from Cheung;
" http://courses.nus.edu.sg/course/psycwlm/internet/metaSEM/index.html"
I would like to put all predictors "Year, Discpline, Country.." into one model as final.
I realized that 'cbind()' function is limited to variable like "Discipline".
If i try to add "Year" to the equation, a error message appears.

how to specify in the middle between stage1 and stage2
Dear Dr mike :
I have a question about MASEM. My example is to study the effect of social support on depression.I found four variables : subject support (zz), objective support (kz) , the using of support (zl), depression (yy). Among these , zz, kz, zl were loaded under a higher-order factor ,called "Alpha", that represents social support. The following is my R code :
a<-c(1,0.428,0.41,-0.327,0.428,1,0.292,-0.199,0.41,0.292,1,-0.198,-0.327,-0.199,-0.198,1)
m1<-matrix(a,nrow=4,ncol=4,dimnames=list(rowname,colname))
rowname=c("zz","kz","zl","yy")
rowname

metaSEM example running error
Dear Mike,
I am attempting to use your R package metaSEM but I came across some problems when I running summary( meta3(y=y, v=v, cluster=District, data=Cooper03) ) in "metaSEM" website. R version that I use is 2.15.3.
Error:
summary( meta3(y=y, v=v, cluster=District, data=Cooper03) )
Running Meta analysis with ML
错误于sort.int(x, na.last = na.last, decreasing = decreasing, ...) :
'x' must be atomic
此外: 警告信息:
In mean.default(x, na.rm = TRUE) :
argument is not numeric or logical: returning NA
meta3(y=y, v=v, cluster=District, data=Cooper03)
Running Meta analysis with ML
- Read more about metaSEM example running error
- 5 comments
- Log in or register to post comments

Importing correlation matrices (beginner)
Dear all,
I recently started exploring the metaSEM package and worked my way through some of the examples found online.
However, I am new to R, OpenMx, and metaSEM and have some difficulty with importing my own data.
I would like to import a number of correlation matrices, corresponding sample sizes, and clusters, but I don't know how to structure the input.
Is it possible to input the data using a csv file? If so, how should the file be structured? If not, what is the best way to input a large number of correlation matrices?
- Read more about Importing correlation matrices (beginner)
- 18 comments
- Log in or register to post comments

Installing metaSEM
Hi! I'm really new to OpenMx. Can someone tell me how to install "metaSEM" via OpenMx?
Thanks,
Rommel
- Read more about Installing metaSEM
- 5 comments
- Log in or register to post comments
Pagination
- Previous page
- Page 24
- Next page