Finding the right fuel for the analytical engine: Expanding the leader trait paradigm through machine learning?

Using self-report personality data and 360-degree performance evaluations of 973 managers across various contexts, we investigated the leader trait paradigm using a range of machine learning methods. We found that a relatively simple linear ordinary least squares model incorporating direct effects of traits and context performed equally as well as our best performing complex machine learning alternatives (e.g., lasso and random forests) at...