I need an explanation. I am running a linear mixed model with repeated measures in SPSS, and one of my covariates is expressed as a percentage. If I run the exact same model with my covariate expressed as a ratio (same data, but divided by 100), my significance level changes (from 0.069 to 0.029), as well the estimates in the fixed effects table.
Why would this occur? Why are percentages and ratios treated differently? How is 55% different from 0.55 when used as a covariate?
This might be a silly question, but I am fairly new to statistics about Nevin Manimala and trying to learn the ins and outs 🙂
All help greatly appreciated!