BookmarkSubscribeRSS Feed
Choose Language Hide Translation Bar
illimani
Community Trekker

Nominal/Ordinal logistic regression

I’m using a logistic regression nominal model for a response variable (pregnant/not-pregnant). My independent variables are: Time of insemination + Production type + interaction. When TOI (48, 52, 56h) is described as a nominal variable both PT and the interaction are significant. When TOI is used is described as a ordinal variable, only the interaction is significant. Why is this relevant to the analysis? I thought the type of logistic regression to be used (nominal or ordinal) was determined only by the data nature of the response variable. Many thanks for any help I can get.

1 ACCEPTED SOLUTION

Accepted Solutions
ian_jmp
Staff

Re: Nominal/Ordinal logistic regression

To quote from the 'Statistical Details' section in the 'Fitting Linear Models' document "Factors marked with the ordinal modeling type are coded differently than nominal factors. The parame...".


Take a look at:


http://www.jmp.com/support/help/The_Factor_Models.shtml#93454


for all the details.

0 Kudos
2 REPLIES 2
ian_jmp
Staff

Re: Nominal/Ordinal logistic regression

To quote from the 'Statistical Details' section in the 'Fitting Linear Models' document "Factors marked with the ordinal modeling type are coded differently than nominal factors. The parame...".


Take a look at:


http://www.jmp.com/support/help/The_Factor_Models.shtml#93454


for all the details.

0 Kudos
illimani
Community Trekker

Re: Nominal/Ordinal logistic regression

Ian, It took me this long to thank you... sorry. Much appreciated your comments on my question. --Erick

0 Kudos