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Missing data on covariates |
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Message/Author |
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Sun Kim posted on Wednesday, April 04, 2012 - 8:23 pm
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Dear Dr. Muthen, I am trying to fit an SEM with 10 covariates I wish to control for. As you suggested in previous threads, I specified the covariate variances in the model command so that they don't end up being dropped with list-wise deletion. Here is a part of my model (the whole model is much more complex): MODEL: achieve by lw02 pc02 prob02; abilityM by ab1m ab2m ab3m ab4m ab5m ab6m ab8m ab9m ab10m; abilityR by ab1r ab2r ab3r ab4r ab5r ab6r ab8r ab9r ab10r; childsex; age02; black; white; hispanic; famincome; edD02; edM02; bioP; achieve97; achieve on childsex age02 black white hispanic famincome edD02 edM02 bioP achieve97; abilityR on childsex age02 black white hispanic famincome edD02 edM02 bioP achieve97; abilityM on childsex age02 black white hispanic famincome edD02 edM02 bioP achieve97; The above model does not converge. However, I noticed that this model does not have any problems fitting when I get rid of the categorical covariates (childsex, black, white, hispanic, bioP). Even when I add the categorical covariates in the regression and do not even model their variances, the model does not converge. I would like to include categorical and continuous covariates and not have them list-wise deleted. Do you have any suggestions? Thank you. |
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If you are putting the categorical covariates on the CATEGORICAL list, remove them. This is for dependent variables only. Otherwise, send the output and your license number to support@statmodel.com. |
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Sun Kim posted on Thursday, April 05, 2012 - 10:02 am
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I'm sorry where can I find my license number? |
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You can login to your account to see your license number. If you have problems doing this, contact Mplusadmin@statmodel.com. |
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