Path Analyses (Models) represent relations between different indicators based on advanced statistical analysis including regression, network analysis and structural equation modelling. In models, the relationships are directional, and they should be read from left to right. When an indicator is part of a model, we call them ‘drivers’, as they drive (positively or negatively) other indicators they are linked to. In a model, the indicator that all the drivers are influencing and predicting is called an ‘outcome’. Outcomes are at the right end of the model, and they are usually our end goals that we want to influence in the long term. We run models to understand how best to create positive change on an outcome, such as constructive citizenship or migration tendency. Red connecting lines in models represent a negative relationship and blue connecting lines represent a positive relationship between indicators. Thicker the arrows, stronger the relationship between the indicators. Models have predictive power, they should not be confused with correlations, where lines represent associations but they are not directional.