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| Measurement invariance across both gr... |
 
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Dear Mr. and Mrs. Muthen,
I'm doing a longitudinal study and try to test for measurement invariance. For this, I took Little's (2013) approach and added the constraints simultaneously to both groups and measurement times.
Consequently, for strict factorial invariance I constrained the intercepts of all observed variables, but there I faced the problem, that I could not estimate the latent factor means. For group 1, the estimates for both time points are constrained to 0; I could only estimate the latent mean differences for group 2. However, this model seems too restrictive since it doesn't allow the mean at time 2 for group 1 to vary.
Is there any way to solve this.
Thank you very much in advance. |
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| My mistake - meant "strong factorial invariance" |
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| With 2 groups and 2 time points you fix the factor mean to zero in only 1 of the 4 cases, e.g. for the control group at time 1. |
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I tried to do that, however I haven't managed to estimate the factor mean at time2 for group 1.
model:
TIME1 by
t1
t2 (1)
t3 (2)
t4 (3)
t5 (4);
TIME2 by
t1_2
t2_2 (1)
t3_2 (2)
t4_2 (3)
t5_2 (4);
[t1@0 t1_2@0];
[t2 t2_2] (int1);
[t3 t3_2] (int2);
[t4 t4_2] (int3);
[t5 t5_2] (int4);
[TIME1@0];
[TIME2*];
model control:
[TIME1*];
[TIME2*]; |
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