Causal Inference in Psychological Data in the Case of Aggression

Abstract

We carried out an empirical study of aggression in relation to different personal traits. In this article we present results obtained for different forms of aggression, including results of machine-learning experiments with the AQJSM method. The method distinguishes several classes with different levels of aggression defined with a special form, as well as making causal inferences with AQ preprocessing and the first stage of JSM method of extraction of cause and effect relationships. The proposed method produces acceptable results for both small datasets and big data with incomplete information.