Quality of Work Life – Development and Scale Validation for Textile Sectors in India
Vanishree Beloor1, T S Nanjundeswaraswamy2, Swamy D R3

1Vanishree Beloor*, Assistant Professor, Department of IEM, JSS Academy of Technical Education, Bangalore, India.
2Dr T S Nanjundeswaraswamy, Associate Professor, Department of Mechanical Engineering, JSS Academy of Technical Education, Bangalore, India.
3Dr Swamy D R, Professor, Department of IEM, JSS Academy of Technical Education, Bangalore, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1736-1747 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8432088619/2019©BEIESP | DOI: 10.35940/ijeat.F8432.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Employee Retention is one of the challenging task faced by textile industries s today. To retain dexterous and adapted employees an acceptable QWL is the requirement by employees and this QWL is marked with intricate dimensions inclined by numerous alterable factors. QWL instrument was applied to their research by many researchers but all of them measure total variance of less than 60%. Therefore it is through the current study that drives the components for a measuring tool that outfits textile sector. This is a survey based study carried out through questionnaires targeting 341 employees working in textile sector. It was then proceeded with analysis part containing EFA to minimize the number of items then followed by confirming the instrument through Confirmatory Factor Analysis (CFA) using SPSS16. In the light of defining interrelationships among the drawn components via EFA ,SEM was done using AMOS. The results of EFA came out with 6 marking dimensions that described 61% of the total variance. The instrument was validated and confirmed through CFA. The six components were Compensation, Work Environment, Relation and Co Operation, Job Security, Facilities and Training and Development which together summed up to total variance of 61 percent. All the necessary fit indices were satisfied with the acceptable range noting chi-square statistics of 3650.935 (df = 351 and p = 0.000), χ2 /df ratio=10.40, GFI = 0.910, AGFI = 0.900, NFI = 0.899, IFI = 0.950, CFI = 0.908, TLI = 0.902 are more than 0.9 and RMSEA = 0.071. A six factor QWL model with 27 items has construct validity. A reliable and valid tool was developed. This instrument is more useful to measure QWL in textiles.
Keywords: Confirmatory Factor Analysis, Exploratory Factor Analysis, Structural Equation Modelling, Textiles, Quality of Work Life.