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Work-home interaction of employees in the mining industry

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Oldfield, G.R.
Mostert, Karina

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Faculty of Economic and Management Sciences, University of Pretoria

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This study aimed to test the construct validity, factorial invariance and reliability of the Survey Work-Home Interaction-NijmeGen (SWING) and to explore whether and how the work-home interaction of various socio-demographic groups differ. Random samples (n = 320) were taken of employees in the mining industry. The confirmatory factor analysis results supported the proposed four-factor structure measuring negative/positive work-home interference and negative/positive home-work interference. The multi-group invariance analyses' results for two language and ethnic groups also supported the factorial invariance of the SWING. All the scales were found to be reliable. Statistically significant differences in work-home interaction were found, based on age, ethnicity, gender, education, marital status, parental status, language, flexibility at work and individuals who had a partner with a paid job.
This study aimed to test the construct validity, factorial invariance and reliability of the Survey Work-Home Interaction-NijmeGen (SWING) and to explore whether and how the work-home interaction of various socio-demographic groups differ. Random samples (n = 320) were taken of employees in the mining industry. The confirmatory factor analysis results supported the proposed four-factor structure measuring negative/positive work-home interference and negative/positive home-work interference. The multi-group invariance analyses' results for two language and ethnic groups also supported the factorial invariance of the SWING. All the scales were found to be reliable. Statistically significant differences in work-home interaction were found, based on age, ethnicity, gender, education, marital status, parental status, language, flexibility at work and individuals who had a partner with a paid job.

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OLDFIELD, G.R., & MOSTERT, K. 2009. Work-home interaction of employees in the mining industry. South African journal of economic and management sciences = Suid-Afrikaanse tydskrif vir ekonomiese en bestuurswetenskappe, 12(1):81-99, Mar. [http://www.sajems.org/index.php/sajems/index]

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