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Factors Affecting Work-life Balance Among Female Teachers in Davangere District: An Empirical Study
Subject area: Management and Commerce · Area of research: Work-life Balance
Abstract
The main objective of this research is to investigate the variables affecting female teachers' work-life balance. Female teachers from educational institutions made up the study population. The selection of participants was done using convenience sampling. We created a questionnaire using a five-point Likert scale (1 being strongly disagree and 5 being strongly agree). 370 of the 630 completed surveys that were distributed for data collection were returned, resulting in a response rate of 58.73%. AMOS 23.0 and SPSS 23.0 were used for statistical analysis. The main statistical method used in the study to examine the relationship between the dependent and independent variables was structural equation modelling or SEM. The findings demonstrated a positive regression coefficient (?1 = 0.681) for the path from coworker support (CS) to work-life balance (WLB), suggesting that CS helps female instructors achieve WLB. Similarly, there is a substantial link from work overload (WO) to work-life balance (WLB) (?2 = 0.425), suggesting that as WO declines, female teachers' work-life conflict also declines. Similarly, there is a positive correlation (?3} = 0.361) between work-life balance (WLB) and job engagement (JE), suggesting that JE influences WLB. This study is especially important in the context of Davangere district, where a changing socio-economic status pattern has led to an increase in the number of women entering the teaching profession. Using the elements from this study, female teachers in Davangere district can look at their WLB concerns. Lastly, a variety of experts may raise awareness of WLB concerns that women face in order to create a positive social perception of them.
Keywords
Work-life balance, Female Teachers, Structural Equation Modeling (SEM) Approach.
References
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How to cite this paper
@article{1705345,
author = {Dr. Tejashwini K C, Dr. Someshwari Mudda},
title = {Factors Affecting Work-life Balance Among Female Teachers in Davangere District: An Empirical Study},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {7},
number = {7},
pages = {1-10},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1705345.pdf},
abstract = {The main objective of this research is to investigate the variables affecting female teachers' work-life balance. Female teachers from educational institutions made up the study population. The selection of participants was done using convenience sampling. We created a questionnaire using a five-point Likert scale (1 being strongly disagree and 5 being strongly agree). 370 of the 630 completed surveys that were distributed for data collection were returned, resulting in a response rate of 58.73%. AMOS 23.0 and SPSS 23.0 were used for statistical analysis. The main statistical method used in the study to examine the relationship between the dependent and independent variables was structural equation modelling or SEM. The findings demonstrated a positive regression coefficient (?1 = 0.681) for the path from coworker support (CS) to work-life balance (WLB), suggesting that CS helps female instructors achieve WLB. Similarly, there is a substantial link from work overload (WO) to work-life balance (WLB) (?2 = 0.425), suggesting that as WO declines, female teachers' work-life conflict also declines. Similarly, there is a positive correlation (?3} = 0.361) between work-life balance (WLB) and job engagement (JE), suggesting that JE influences WLB. This study is especially important in the context of Davangere district, where a changing socio-economic status pattern has led to an increase in the number of women entering the teaching profession. Using the elements from this study, female teachers in Davangere district can look at their WLB concerns. Lastly, a variety of experts may raise awareness of WLB concerns that women face in order to create a positive social perception of them.},
keywords = {Work-life balance, Female Teachers, Structural Equation Modeling (SEM) Approach.},
month = {January},
}