Data-Driven Approaches for Statistical Analysis in Human Resource Management: A Comprehensive Review and Future Directions

This paper provides a comprehensive review of the use of statistical analysis in human resource management (HRM). It starts by exploring the various ways in which statistical analysis has been applied in HRM, including personnel selection, performance appraisal, and compensation. The paper then discusses the limitations and challenges of using statistical analysis in HRM, such as small sample sizes, lack of relevant data, and ethical concerns. The paper concludes with a discussion of future directions for the use of statistical analysis in HRM, including the potential benefits of big data and machine learning, as well as the need for further research in this area. The paper provides insights for HR practitioners and researchers in helping organizations to better understand and use statistical analysis in HRM.