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Configurational demographic predictors of work- nonwork satisfaction

机译:非工作满意度的人口结构预测因子

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Contemporary work-life balance research tends to treat demographic variables as moderators, grouping variables, or control variables influencing work and nonwork satisfaction. Yet earlier theories were premised on the assumption that they are, in fact, predictors of work and nonwork satisfaction even though those assumptions have not yet been tested empirically. Drawing on an Australian study comprising 798 white-collar employees and using a fuzzy-set qualitative comparative analysis technique, we investigate demographic variables as potential configurational predictors affecting work-nonwork satisfaction, defined as a combination of work satisfaction and nonwork satisfaction. The analysis revealed different scenarios and specific patterns between configurational solution terms leading to work-nonwork satisfaction. Employment status and age of children (specifically age differences between children) were the most important demographic variables influencing employees' work-nonwork satisfaction.
机译:当代工作与生活平衡的研究倾向于将人口统计学变量视为调节者,分组变量或影响工作和非工作满意度的控制变量。但是,较早的理论以这样的假设为前提,即,尽管这些假设尚未经过经验检验,但它们实际上是工作和非工作满意度的预测指标。基于一项包括798名白领雇员的澳大利亚研究,并使用模糊集定性比较分析技术,我们调查了人口统计学变量,作为影响非工作满意度的潜在配置预测因子,定义为工作满意度和非工作满意度的组合。分析揭示了配置解决方案术语之间的不同场景和特定模式,从而导致了工作非工作满意度。儿童的就业状况和年龄(尤其是儿童之间的年龄差异)是影响员工的非工作满意度的最重要的人口统计学变量。

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