Multiple Group CFA with binary data PreviousNext
Mplus Discussion > Confirmatory Factor Analysis >
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 Ryan Hong posted on Thursday, September 15, 2016 - 1:25 am
Hello,

I am trying to conduct a multiple group CFA (groups = S & P) with 10 binary items loading on 3 factors. I started with the configural model here.

*****
USEVARIABLES ARE m1-m10;
GROUPING IS Group (0=S 1=P);
CATEGORICAL ARE m1-m10;
Parameterization = theta;
MODEL:
affect BY
m4@1 (L4)
m5* (L5);
impul BY
m1@1 (L1)
m2* (L2)
m3* (L3)
m6* (L6)
m10* (L10);
self BY
m7@1 (L7)
m8* (L8)
m9* (L9);
[m1$1*] (I1); [m2$1*] (I2); ... [m10$1*] (I10);
affect* impul* self*;
affect WITH impul*;
affect WITH self*;
impul WITH self*;

MODEL S:

In Model S, the commands are repeated but without labels.

I got an error message:
THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE
COMPUTED. THE MODEL MAY NOT BE IDENTIFIED. CHECK YOUR MODEL.
PROBLEM INVOLVING THE FOLLOWING PARAMETER:
Parameter 42, Group P: M2

The parameter is the theta for m2.

Is there anything I can do to resolve this?

Thank you!
 Bengt O. Muthen posted on Thursday, September 15, 2016 - 10:29 am
Please send the full output and your license number to Support.
 Willie McBride posted on Saturday, March 31, 2018 - 7:43 pm
Hello!

I am using MGCFA to examine measurement invariance with categorical indicators.

One of the scales (4 items) I am examining has passed the configural invariance step but did not show adequate fit for scalar invariance. I am proceeding to measure for partial scalar invariance (DIFFTEST compared with configural model) by constraining factor loadings and thresholds one item at a time while relaxing other items (factor loadings and thresholds).

However, I am receiving the following error:

THE CHI-SQUARE COMPUTATION COULD NOT BE COMPLETED BECAUSE OF A SINGULAR MATRIX.

I wonder why I am receiving this error since I have used this same analysis for the other scales I am examining and was able to compute all calculations with the same data set, except with the specific scale mentioned above.

I changed one of the items on the scale just to see if that made a difference and it was able to compute but the DIFFTEST could not be computed and gave this error:

THE CHI-SQUARE DIFFERENCE TEST COULD NOT BE COMPUTED BECAUSE THE H0 MODEL MAY NOT BE NESTED IN THE H1 MODEL. DECREASING THE CONVERGENCE OPTION MAY RESOLVE THIS PROBLEM.

Thank you!
 Bengt O. Muthen posted on Sunday, April 01, 2018 - 12:14 pm
Please send both outputs and the data to Support along with your license number so we can investigate this.
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