Is possible to work with all independent variables as dicotomics?
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Yes, but. The 'but' is the same as for an ordinary logistic regression. In your model you have a categorical, possibly dichotomous, dependent variable (DV) and independents (IVs) that are categorical. You need to make sure that within every level 1 group a) none of the variables (IVs or DV) have a zero frequency cell and b) the crosstabs of IV against DV do not have zero cells. If you have IVs with zero cells, you could, of course, collapse categories for that variable. It might be useful to use split files and run the model using logistic.
Gene Maguin -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of pof Sent: Tuesday, May 19, 2015 6:50 PM To: [hidden email] Subject: Independent variables for nested logit model Is possible to work with all independent variables as dicotomics? -- View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Independent-variables-for-nested-logit-model-tp5729577.html Sent from the SPSSX Discussion mailing list archive at Nabble.com. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
Dear Eugene Maguin
thank you for your help. Is possible to have your private e-mail, because I need help, so is better to contact you directly. I will wait for your reply. Best regards, Paula Odete. On 20/05/2015 14:23, Maguin, Eugene [via SPSSX Discussion] wrote: Yes, but. The 'but' is the same as for an ordinary logistic regression. In your model you have a categorical, possibly dichotomous, dependent variable (DV) and independents (IVs) that are categorical. You need to make sure that within every level 1 group a) none of the variables (IVs or DV) have a zero frequency cell and b) the crosstabs of IV against DV do not have zero cells. If you have IVs with zero cells, you could, of course, collapse categories for that variable. It might be useful to use split files and run the model using logistic. -- .................................................................................................................................................. Paula Odete Fernandes [PhD in Economics and Management] Department of Economics and Management School of Technology and Management [ESTiG] [http://www.estig.ipb.pt] Polytechnic Institute of Bragança [IPB] [http://www.ipb.pt] Campus de Santa Apolónia| Apartado 1134| 5301-857 Bragança - Portugal Tel: +351 273 303 103|Fax: +351 273 313 051 .................................................................................................................................................. |
In reply to this post by Maguin, Eugene
In addition to what Gene suggests:
It is possible to deal with IV's as dichotomies. It is often undesirable to do. Is it at all possible fro you to represent your constructs in a less coarse (finer grained) way? advice would be more firmly grounded if you explained what your constructs are, how the data were gathered, and how the variables are operationalized (names, labels, values, value labels, etc.)
Art Kendall
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