Identifying the reasons and effects in data of psychological testing by logical methods

The paper deals with the sharing of AQ-learning and DSM-method in the problem of identifying cause-and-effect relationships in the data of psychological testing. AQ-learning is used to describe the description of a group of subjects with the rules. Description of the group serves as a basis for building a base of facts for JSM method. To suggest hypotheses about causal relations in the database of facts the first phase of the DSM method is used for. A complete algorithm developed is described. It is provided guidance on the method’s application. It is presented the comparative analysis of the results obtained by the proposed method with the results of statistical analysis.