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Confirmatory factor analysis of the efficient work-life balance of employees in Rayong

Nattapol Phumsiri, Suwannee Rooplor

 The ongoing Covid-19 pandemic has affected individuals, society, government and private organizations. People have changed their behaviors, lifestyles and working methods to fit the “New Normal”, such as widening social distancing, wearing masks, working from home, etc. In the industrial sector, employees are still working, and most of them still work exceed the working hours required by the Ministry of Labor, which in turn affects the work-life balance. This research aimed to 1) analyze the second-order of confirmatory factor analysis of the efficient work-life balance of employees in Rayong, and 2) examine factors of the efficient work-life balance of employees in Rayong. The sample consisted of 500 industrial business executives. Cluster sampling and systematic random sampling methods were applied in this research. The research instrument was a questionnaire. Data were analyzed using SPSS for descriptive statistics and AMOS for confirmatory factor analysis. 

The results found that the factors of the efficient work-life balance of employees in Rayong comprised 5 factors and 15 observed variables as follows; 1) Salary and Welfare consisted of 3 observed variables, 2) Development consisted of 3 observed variables, 3) Personal life consisted of 3 observed variables, 4) Job Security consisted of 3 observed variables and 5) Policy and Administration consisted of 3 observed variables. The second-order confirmatory factor analysis showed that  the model was congruent with empirical data. The results of model validation indicated the Chi-square=104.361, df=85, p=.076, CMIN/DF=1.228, and RMSEA=.024. The correlation coefficient analysis revealed that 105 pairs were found the relationship with statistical significance at 0.001. The highest correlation coefficient was the relationship between “Income earned is sufficient to support your life and family” and “The salary is appropriate for the skills and quantity of work” with the correlation value of .561.

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