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| Factorial Invariance & missing data |
 
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| Bit na, LEE posted on Sunday, August 25, 2013 - 8:49 am
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Dear Linda,
I hope that all things are doing well.
I am working on factorial Invariance between a full version test (B test) and a short version test (A test) - A test has been developed as a short version of B test). Therefore, since A test is a short version, there are some missing data in A test data set. However, Mplus could not read the missing data when conducting factorial invariance analysis � which the syntax said as follows:
*** WARNING in ANALYSIS command
MODEL=NOMEANSTRUCTURE is not allowed in conjuction with TYPE=MISSING.
Request for MODEL=NOMEANSTRUCTURE will be ignored.
Would you please give me any advice to solve this problem? If you want, I could send the original data set and code.
Thank you so much
Sincerely,
Bitna |
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| The model must contain means when TYPE=MISSING is used. This is not a problem. A model with unstructured means is the same as a model with no means. |
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Hi, Linda
I have one more question.
So, when missing is defined as "DEFINE: IF (Y3 EQ 0) THEN Y3=_MISSING", "MODEL=NOMEANSTRUCTURE "is also not allowed? |
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| Tht is correct. A model with unstructured means yields the same results as a model with no means. |
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