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st: interpreting output of mim gllamm models
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st: interpreting output of mim gllamm models
Date
Wed, 30 Jun 2010 18:36:33 -0400 (EDT)
I run a -mim, cat(fit): gllammt- three level logit model for multiple
imputed data. The output looks like the table below. I do not understand
what FMI, NSCA1, and NSCA2 mean. Anyone knows what they mean? Thanks a lot
in advance.
Y| Coef. Std. Err. t P>|t| [95% Conf. Int.] FMI
-------------+--------------------------------------------------------------X1
| -.550953 .041775 -13.19 0.000 -.635793 -.466114 0.365
X2 | .082396 .023805 3.46 0.001 .034555 .130237 0.302
-------------+--------------------------------------------------------------
NSCA1 | 1.5275 .04417 34.58 0.000 1.44037 1.61463 0.136
NSCA2 | .0728 .522183 0.14 0.898 -1.62878 1.77438 0.993
Junqing
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