st: mvn impute - collinear imputation (dependent) variables detected

[Raquel Guimaraes <raquelrguimadem@gmail.com>]

Hi all,

I need help using multiple imputation command for Multivariate Normal 
Distribution. I did this before and worked perfectly. Now, 
unfortunately, I am getting the following error message: collinear 
imputation (dependent) variables detected. Below you may find the piece 
of do-file.

. mi impute mvn ambienteescolarprofessor_mean 
avaliacaodosprofessores_mean climadiscipl
> inar_mean /// condicoesdefuncionamentoprofesso condtrab_mean 
formaçãoprof_mean recurs
> osformais_mean recursosparticipativos_mean usatecnologia_mean ///
> formaçãodiretor ambienteescolardiretor biblioteca livro 
coesãointraescolar condfuncdi
> r equipamentos= leitura, add(1)
note: variable condfuncdir contains no soft missing (.) values; imputing 
nothing
note: climadisciplinar_mean omitted because of collinearity
mi impute mvn: collinear imputation (dependent) variables detected

Well, what I am supposed to do? I have only one dependent variable 
(leitura), and I can not drop it.

Thanks in advance for any help!

Kind regards,
Raquel

--
Raquel Guimaraes
MA Candidate - International Comparative Education
School of Education, Stanford University


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