The prediction of accident liability through biographical data and psychometric tests

Classification of drivers through cluster analytical procedures revealed several high and low accident types. These findings indicate that a combination of cluster analyses and multiple regression analyses is a more powerful method than either alone, and that conventional multiple regression procedures can obscure complex relationships between personality and attitudinal factors derived from a psychometric inventory.