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 Steven Viger posted on Tuesday, August 13, 2013 - 5:49 pm
I have 4 groups I'd like to compare on a common instrument. All of the indicators in the instrument are multiple choice items scored correct/incorrect (1/0). I want to do a very basic and straightforward test of MI across these groups. Can someone help me out with some advice or possibly something replicable? I'm a newbie so go lightly :-)
 Bengt O. Muthen posted on Tuesday, August 13, 2013 - 7:02 pm
Here is an example used to illustrate MI testing of a 2-factor model across 34 countries using version 7.11 (see the "slide 13" run on our website for data). Configural, metric, and scalar invariance is tested in a single run.

data:
file = issp.txt;

variable:
names = cn v21 v22 v26 v29 v35;

usev = v21-v35;

missing = v21-v35 (0 8 9);

grouping = cn(34);

analysis:
estimator = ml;
model = configural metric scalar;

model:
nat by v21 v22;
pat by v26 v29-v35;

output:
tech1;
 SG posted on Thursday, August 15, 2013 - 4:38 pm
Thank you for this! Would the same type of set up work in the case of binary outcome variables like I have?
 Linda K. Muthen posted on Thursday, August 15, 2013 - 8:25 pm
Yes. You would need to use the CATEGORICAL option to specify the binary variables.
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