Hi Claudia,
Sorry to bring this isse back to discussion again. (I was not able to
work due to an accident last month.)
In your kindly response, does it mean that I basically should not use
gllamm based on the imputed data sets? Last time I told you the gllamm
with weighting variable work was because I tried the program on my
original data (without imputation). I wonder does it make sense that I
run my growth-curve model by using gllamm with each imputed data set
(I have 5 imputed sets), then compare whether the five sets of output
differ or not to determine whether to use imputation in my analysis.
Sincerely,
Ada
2007/2/11, Claudia L. Rangel <[email protected]>:
Hi Ada,
You mention that you are using imputed data by means of the ICE
command. If your dataset is of a multilevel nature, then ICE is not
appropriate, since it only imputes with flat data structures; unless
there have been updates that I am not aware of.
Best,
Claudia
On 1/31/07, Chen Ada <[email protected]> wrote:
> Dear all,
>
> I've been trying to apply weight (pweight) in gllamm for a miltilevel
> model. The data I use is an imputed data by using ice. But I keep
> getting an error message about not able to find the weight variable.
> Is there anyone ever successfully use weight option in gllamm? Please
> help! Many Thanks!
>
> Best,
>
> Ada C. Chen
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