Multilevel modelling and time series analysis in ... - ERSO - Swov

2.3.3 Multinomial responses Select “ID_loc” from the level 2(j) drop-down menu Select “ID_ind” from the level 1(i) drop-down menu Click “Done”• Click on the N in the Distribution statement for Breathtest and Check “Multinomial” In the appearing window, leave “logit” checked Select “Unorderd” Leave “safe” as reference category Click “Done”• Click “Add Term” and select “Cons” from the variable drop down list• Click “add Separate coefficients”• Click “Done”To include the location-level into the model, one has to let the intercept varyrandomly across locations. In the ordered model, this was done for a jointintercept. In the unordered model, we simply let the intercepts that alreadydefine the categories vary across locations.• Click on “cons.alarm ij ”• Check “k(id_loc_long)• Click “Done”• Do the same with “cons.positive ij ”In the unordered model, predictors are not assumed to have the same effect onall categories. Therefore separate coefficients have to be estimated for eachcategory.• Click on “Add Term” at the bottom of the Equations window• Select “gender” from the variable drop down list• Select “male” as reference category• Click on “Add separate coefficients”• Click “Done”• Repeat the procedure to include predictor “age”o Select “age16-25” as reference category• Click “Start” to estimate the modelP r o j e c t c o - f i n a n c e d b y t h e E u r o p e a n C o m m i s s i o n , D i r e c t o r a t e - G e n e r a l T r a n s p o r t a n d E n e r g yP a g e 4 9