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Independent Pathway Model 5 cogs 5 occasions [6] | 42.74 KB |
I have been analyzing achievement/cognitive test data from the NLSY79 Children data set. I have constructed sibling-cousin pairs for each of the five tests (PPVT, digit memory, reading comprehension, reading recognition and math) at 5 occasions (ages 5-6, 7-8, 9-10, 11-12 &13-15). I have successfully run a independent pathway model for domain scores averaged over occasions (zero to 4) and 5 separate models for each age. However, there are several reasons why a combined model using all the data is more desirable than running separate scripts for each.
However, when I run the model I get the following error message:
Running IndACE with 173 parameters
Error: The job for model 'IndACE' exited abnormally with the error message: fit is not finite (The continuous part of the
model implied covariance (loc2) is not positive definite in data 'G7.data' row 203. Detail:
covariance is too large to print # 38x38)
In addition: Warning message:
In model 'IndACE' Optimizer returned a non-zero status code 10. Starting values are not feasible. Consider
mxTryHard()
I don't understand the message but know it is bad. I am not sure what is the problem is maybe the intercept, the path or matrix specifications or is it because the model is too large and there are too many parameters to estimate (although many are fixed at zero) or too much NA. The start values worked for the runs mentioned above, this model is identified according to OpenMX. TryHard returns errors, doesn't even begin.
So I have attached the script. The data is over 2MB so I can't send in this forum but I can send a csv file (3.7MB) by email or leave it on a directory.