Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | Raquel Guimaraes <raquelrguimadem@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
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 detectedWell, 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 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/