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Abstract: The paper presents the results of an empirical test of the hypothesis about the correlation of the degree of social inclusion of the staff leader with the level of manifestation of their professionally important qualities. The author analyzes the scientific reflection of the phenomenon of social inclusion of the individual, and offers his own definition of this psychological phenomenon. The article reviews the existing contradictions in the field of management assessment between the presence of the necessary professional qualities and the low efficiency of management. This allows the author to pose three hypotheses, the testing results and proofs of which are consistently presented in the article. The paper characterizes in detail the sample on which the study is conducted, describes the psychometric indicators of the diagnostic tools used, and reveals the course of the study. The author empirically identifies and describes the structure of social inclusion of the individual and its components — intentional, status, cognitive, and dispositional. The essential content of each of the components is revealed. Using statistical methods of factor, regression and dispersive analysis, the author shows that the quantitative and qualitative representation of the components of the structure of social inclusion in the personality of the staff leader reveals the nature of the leader’s positioning in culture. Based on the methods of mathematical modeling and statistical analysis, the author notes that the distinguished components can act as new criteria for assessing the strength of professionally important psychological qualities of the staff leader as verifiable criteria for assessing the level of social inclusion. A convenient and simple integral of determining the level of social inclusion for individual cases is proposed. The materials of empirical research presented by the author open up the possibility for the development of systems of complex assessment of psychological professional qualities of representatives of any industrial sector, taking into account the influence of the factor of social inclusion, on the basis of mathematical modeling.