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 :-)
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;