Quantified data analysis and interpretation of employee ranking system practice: A existing HRM policy approach

A Karthikeyan; P Ebby Darney

doi:10.33545/26648792.2025.v7.i1e.306

Quantified data analysis and interpretation of employee ranking system practice: A existing HRM policy approach

Author(s):

A Karthikeyan and P Ebby Darney

Abstract:

The Statistical Package for the Social Sciences (SPSS) Version 21.0 was used to analyze the data that was gathered and presented in this research. There includes a thorough presentation and discussion of common data analysis methods, including frequency analysis charts and graphs. Factor analysis, correlation, chi-square, and analysis of variance (ANOVA) are examples of inferential data analysis procedures that have been applied effectively and provided with potential interpretation.

DOI: 10.33545/26648792.2025.v7.i1e.306

Pages: 440-446 | 83 Views 33 Downloads

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International Journal of Research in Management

How to cite this article:

A Karthikeyan and P Ebby Darney. Quantified data analysis and interpretation of employee ranking system practice: A existing HRM policy approach. Int. J. Res. Manage. 2025;7(1):440-446. DOI: 10.33545/26648792.2025.v7.i1e.306

Vol. 7, Issue 1, Part E (2025)

Quantified data analysis and interpretation of employee ranking system practice: A existing HRM policy approach