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Negative Variances in Bifactor Modeling
Confirmatory Factor Analysis
Seth J. Schwartz
posted on Wednesday, June 25, 2014 - 10:52 am
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:
ESTIMATOR IS MLR;
Type is Complex; !School is the clustering variable;
ITERATIONS = 10000000;
ASrch by AAIM01_1* AAIM02_1 AAIM04_1 AAIM08_1 AAIM10_1;
ACom by AAIM03_1* AAIM05_1 AAIM06_1 AAIM07_1 AAIM09_1
General by AAIM01_1* AAIM02_1 AAIM03_1 AAIM04_1 AAIM05_1
AAIM06_1 AAIM07_1 AAIM08_1 AAIM09_1 AAIM10_1
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.
Linda K. Muthen
posted on Wednesday, June 25, 2014 - 2:18 pm
You should not fix a significant negative residual variance to zero. This calls for a change in the model.
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