Hi,
I've been using the rerun() function with the autofixtau2 argument, which is leading our models to converge. While I appreciate that it may be choosing suitable starting values for estimated parameters, I’m not entirely sure how the models have converged ( low number of studies and small N). In an effort to ‘fix’ tau2 could it end up running a fixed effects model? Are there conditions where autofixtau2 should/should not be used and how it should be interpreted?
If you could point me to any reading or explanations I would be very grateful. I have done some reading up on mxTryHard() but I’m still not clear.
Thanks