|
|
 |
| Negative Variances in Bifactor Modeling |
 
|
| Message/Author |
|
|
|
|
Dear Bengt and Linda:
My post-doc and I are running some bifactor models and are getting one negative residual variance.
Our input looks like this:
ANALYSIS:
ESTIMATOR IS MLR;
Type is Complex; !School is the clustering variable;
ITERATIONS = 10000000;
MODEL:
ASrch by AAIM01_1* AAIM02_1 AAIM04_1 AAIM08_1 AAIM10_1;
ACom by AAIM03_1* AAIM05_1 AAIM06_1 AAIM07_1 AAIM09_1
AAIM11_1 AAIM12_1;
General by AAIM01_1* AAIM02_1 AAIM03_1 AAIM04_1 AAIM05_1
AAIM06_1 AAIM07_1 AAIM08_1 AAIM09_1 AAIM10_1
AAIM11_1 AAIM12_1;
ASrch@1;
ACom@1;
General@1;
General with ACom@0 ASrch@0;
The variance for AAIM12_1 is negative and significant. Should we set the negative variance to zero? Is that OK to do?
Thanks so much.
Seth Schwartz |
|
|
|
|
| You should not fix a significant negative residual variance to zero. This calls for a change in the model. |
|
|
| Back to top |
|
|
