I'm currently working on an analysis where I standardized all data values by subtracting the mean and dividing by the standard deviation (Z-score). However, when I interpret the odds ratios then the scale is unit less (or lacks a tie to my original data values). Therefore, how would you calculate the odds ratios based on standardized coefficient estimates but on the raw variable scale? In other words, my raw variables are distance to features (e.g., 100-m to an agricultural field) but the z-scores are now unit less so I can't make statements currently like: for every 100-meter increase, turkeys are 1.38 times more likely to occur. I would greatly appreciate your assistance!
results<-glmer(ROA1~MP_Scaled_Z*Week1 + MPHW_Scaled_Z*Week1 + HW_Scaled_Z*Week1 + YP_Scaled_Z*Week1 + AG_Scaled_Z*Week1 + SB_Scaled_Z*Week1 + WET_Scaled_Z*Week1 + UB_Scaled_Z*Week1 + (1|Collar_ID),data=turkey.3rdorder,family=binomial)