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

From   Raquel Guimaraes <>
Subject   st: mvn impute - collinear imputation (dependent) variables detected
Date   Mon, 17 Oct 2011 06:53:44 -0700

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

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