Mashina E. A. (Lecturer, ITMO National Research University (St. Petersburg))
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The article is devoted to the review of approaches to assessing the creativity of candidates, carried out in the implementation of recruitment procedures based on the concept of J. Guilford and E.P. Torrens, involving the use of psychometric methods to identify the level of divergence of personal thinking of the subject, manifested in the possibility of finding multiple solutions to the same elementary problem. The paper provides a summary of the main methods for determining creativity as an individual's ability associated with intellectual creative creativity, as well as a comparative description of the implementations of practical methods for identifying creativity and the grounds for graduating the levels of creativity of employees depending on their abilities and practical capabilities to perceive and disseminate innovations. As a demonstration of the capabilities of automated tools used in the behavior and processing of the results of psychometric studies of the creative qualities of the subjects, an example of a solution implemented by the author for clustering test results based on the application of the k-means algorithm is given. Based on the materials presented in the paper, conclusions are drawn about the applicability of the created methods for the practical assessment of the creative capabilities of candidates during recruitment procedures.
Keywords:recruitment, creative activity, diagnostics of creativity, divergence of thinking, clustering
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Citation link:
Mashina E. A. APPROACHES TO THE COMPARATIVE ASSESSMENT OF EMPLOYEE CREATIVITY BASED ON AUTOMATED CLUSTERING OF PSYCHOMETRIC TEST RESULTS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№12. -С. 99-105 DOI 10.37882/2223-2966.2023.12.25 |
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