Multi-level path model for prediction of deceased and living donation rates. Legend. ^P = .089, *P < .05, **P < .01, ***P < .001. RTA, GDP and Hospital Beds are Grand Mean Centered. Slope between years and deceased and living donation rates and deceased and living donation rates are random. N = 450, with 47 clusters (countries). There was no helping data from Cuba. Therefore, this country was not included in the analysis, reducing the sample to 47 countries. Coefficients are unstandardized and the estimator is Maximum Likelihood with Robust Standard Errors. Blue paths represent the effect of covariates and consent on living donation rate, yellow paths represent the effect of covariates and consent on deceased donation rate, red paths represent the effect of years on both living and deceased donation rate, the green path is the effect of deceased donation rate on living donation rate. The purple path is the effect of the helping latent factor on consent and the brown path the effect of the legal system on consent. The black paths are the unstandardized factor loadings. aRounded as MPlus only reports to three decimal places. GDP, gross domestic product; RTA, road traffic accidents.