Dear experts,

When should I include random slopes in my non-linear mixed effects model?

Is it solely when it results in a better Log Likelihood Ratio or is there a theoretical decision to be made, for example only include random slopes when each subject is in each leavel of treatment etc, i.e Barr (2013) Random effects structure for confirmatory hypothesis testing: Keep it maximal?. J Mem Lang