Abstract
Employee attrition, a major challenge for organizations globally, is the phenomenon of employees leaving the company for a variety of reasons. This paper explores the scenario of employee attrition among married employees using descriptive statistical analysis. Using a dataset of 366 married employees from the Kaggle website, the study applies descriptive statistical analysis to evaluate the significance of variables such as age, gender, total working years, monthly income, distance from home, work-life balance, and job satisfaction. Descriptive statistics revealed that the average number of participants is 39.35 years with total working years ranging widely between 1 and 50 years. Monthly income also varies significantly, with an average of $7,410.37, reflecting a diverse sample. Employees who live farther from work exhibit higher attrition rates, with an average commute distance of 50.36 km. Furthermore, gender analysis highlights a greater propensity for females to leave their roles compared to males. These findings highlight the necessity for organizations to implement targeted retention strategies, focusing on improving work-life balance and addressing gender disparities. This study contributes to the field of employee retention by offering actionable insights to guide organizational decision-making, thus enhancing workforce stability and performance
Metadata
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Mohammad Haelmi Alri, Amanda Balqish Alri UNSPECIFIED Mohamed Yusof, Noreha noreh144@uitm.edu.my |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > Labor. Work. Working class > Labor. Work environment H Social Sciences > HQ The family. Marriage. Woman > The family. Marriage. Home > Parents. Parenthood. Including parent and child, husbands, fathers, wives, mothers |
| Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus |
| Page Range: | pp. 23-29 |
| Keywords: | Employee attrition, married employees, descriptive analysis, work-life balance, job satisfaction, gender disparities |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/137153 |
