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...vels into 2 - threatened ( levels 1+2) or non threatened (levels 3,4+5) and call model1 <- lmer(THREAT~1+(1|ORDER/FAMILY) + A+B+C+D...., family=binomial)? Which worked well, now i want to see how the factors influence the individual response variables i.e do species with a response variable of 1for instance, posses certain factors, and it is this i am unsure how to build into a model. My overall goal would be to use the model as a predictive model and ask - ?"if a species has factors a ,b,c for instance , can i predict what the response level (0-5) would be"? Thanks, and once agai...