"Dear Mike and other users,
I am encountering the same problem. I have a smaller sample of 15 studies with a 5-variable matrix (1 binary variable, 4 continuous variables), but all 15 studies contribute data to every cell. Every study matrix is…"
"Thank you very much, Mike.
So, if I use the resulted pooled correlation matrix in stage 2 of TSSEM, does it mean that for the data points with one study, the correlation will be used as a covariance toward estimating the structural model?"
There is only 1 study in many of these cells. It is not possible to estimate the heterogeneity variances.
pattern.na(MASEM$Data, show.na = FALSE) x1 x2 x3 x4 x5 x6 x7 x8 x9x1 4 2 1 1 …"
Hello Mike and others;I am trying to conduct random-effects TSSEM on a dataset of 61 studies (data set, "hamed.dat", is attached), using metaSEM 0.9.6, Openmx 2.3.1, and R 3.2.2 (2015-08-14). However, I am stuck in stage 1 of the random-effects analysis with error code "6". I even changed the default optimizer in Openmx from "SLSQP" to "NPSOL", but no luck. Regardless of changes I make to my data, it seems that I can not produce error code "0" or "1" in stage 1 of random-effects TSSEM. This is…See More