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Much appreciated, Chris and George. I hope you both are doing well!

Hi all,

I have been trying to figure out how to use runmlwin and Stata's margins command in combination. I know, based on reading other posts in the forum, that I can do something similar to margins by setting variables in the model to certain values and then running predict after runmlwin. This ...

Thanks for the quick response, Chris! I figured it was a longshot, but your proposed workaround is a good option.

Hi all,

I have been working with large data files (1+ GB) and it would be helpful for me to be able to keep the data in MLwiN to prevent the Stata to MLwiN data transfer that happens each time I fire off a model using runmlwin. Is it possible to avoid the data transfer step and keep my data in ...

Thanks, Chris and George.

George, I am having trouble locating a web example from HLM. My colleague said that that it involves the fixsigma2 command (setting it to 1) and then specifying a "varianceknown" variable. Below is a snippet of code from a HLM syntax file. It looks like something similar ...

Hi George,

Thanks so much.

In the example you linked, the residual variance was set at a single value (scalar).

constraint define 1 [RP1]var(cons) = 0.5

I would like to set the residual variance to a variable in the dataset given that the SEM is unique to each observation in the data ...

Hi all,

I am running a longitudinal model on an outcome that was measured and scored using a 1-PL IRT model (Rasch). For each observation of the outcome, there is an associated standard error of measurement (SEM). Is it possible to fix or constrain the residual variance in a MLwiN model (via ...

Thanks, Chris. That makes sense. I can see why I was confused - I did not mean to exclude the intercept from the fixed part of the model! Had I included it there, then uc0 would have been the random intercept.

Hi Chris, George, and everyone,

When running a model with multiple random slopes and getting the Empirical Bayes predictions, is there a way to tell how the newly produced residual variables map onto the intercept and slopes?

I am running the following model:
runmlwin RIT time time2, level3 ...

Got it, Chris. Is it possible to setup a similar model as the Rats example in Chapter 19 with two outcomes like I have here?