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The complexity of professional environments demands domain-specific strategies for recruitment, professional development, and team dynamics, as generic frameworks often fail to address the unique personality needs of different sectors. This study bridges this gap by integrating the Big Five personality framework with a mixed-methods approach to explore domain-sensitive assessments in healthcare, education, and corporate sectors. A sample of 300 quantitative responses was analysed using descriptive statistics, regression modelling, and clustering, while qualitative insights were derived through thematic analysis. Key findings reveal distinct personality profiles across domains: educators exhibit high levels of Conscientiousness (89.4%) and Openness (87.8%), reflecting their capacity for creativity and strategic planning; corporate managers excel in Extraversion (89.8%), underscoring their leadership-oriented roles; and healthcare professionals demonstrate a balanced personality profile, with the Neuroticism (81.6%) highlighting the strong emotional resilience under stress. Qualitative insights enriched these results, illustrating how the personality traits influence collaborations, leadership, and the precision in professional performance. Additionally, clustering analysis using the K-Means algorithm identified three distinct participant clusters based on Extraversion and Conscientiousness: Cluster 0 balanced sociability with structured behaviors (typical of corporate mid-level managers); Cluster 1 combined high sociability and organizational skills (seen in educators and leadership roles); and Cluster 2 emphasized precision and independence under high-pressure settings (characteristic of healthcare professionals). These findings serve to reiterate the importance of tailoring strategies to the unique characteristics of a given profession. The work demonstrates the necessity of domain-sensitive personality analyses in challenging human capital managers to create optimal conditions for employment, training, and team building. Furthermore, it opens the door for further studies on changes in personality and tailored approaches to intervention across different occupations.

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Empirical Correlation Development for Domain-Specific Psychometric Assessments Using Mixed-Methods Analytical Approach for Personality Profiling

  • 会议论文

  • 发表日期：

    2026年

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  • Rajesh Kumar Modi,
  • Ayushman Pranav,
  • Ankit Dubey,
  • Umesh Gupta,
  • Pankaj Mishra

摘要

The complexity of professional environments demands domain-specific strategies for recruitment, professional development, and team dynamics, as generic frameworks often fail to address the unique personality needs of different sectors. This study bridges this gap by integrating the Big Five personality framework with a mixed-methods approach to explore domain-sensitive assessments in healthcare, education, and corporate sectors. A sample of 300 quantitative responses was analysed using descriptive statistics, regression modelling, and clustering, while qualitative insights were derived through thematic analysis. Key findings reveal distinct personality profiles across domains: educators exhibit high levels of Conscientiousness (89.4%) and Openness (87.8%), reflecting their capacity for creativity and strategic planning; corporate managers excel in Extraversion (89.8%), underscoring their leadership-oriented roles; and healthcare professionals demonstrate a balanced personality profile, with the Neuroticism (81.6%) highlighting the strong emotional resilience under stress. Qualitative insights enriched these results, illustrating how the personality traits influence collaborations, leadership, and the precision in professional performance. Additionally, clustering analysis using the K-Means algorithm identified three distinct participant clusters based on Extraversion and Conscientiousness: Cluster 0 balanced sociability with structured behaviors (typical of corporate mid-level managers); Cluster 1 combined high sociability and organizational skills (seen in educators and leadership roles); and Cluster 2 emphasized precision and independence under high-pressure settings (characteristic of healthcare professionals). These findings serve to reiterate the importance of tailoring strategies to the unique characteristics of a given profession. The work demonstrates the necessity of domain-sensitive personality analyses in challenging human capital managers to create optimal conditions for employment, training, and team building. Furthermore, it opens the door for further studies on changes in personality and tailored approaches to intervention across different occupations.