酒精问题与幸福感、工作态度和绩效之间的关系:它们是单调的吗?

Sarah Moore , Leon Grunberg , Edward Greenberg
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引用次数: 29

摘要

目的。研究工作特征与工作外饮酒或问题之间关系的调查人员通常假设存在线性或单调关系(例如,随着工作压力的增加,饮酒和问题也会增加)。在本研究中,我们通过调查酒精问题与多种人口统计、工作态度、幸福感和工作绩效变量之间关系的本质来检验这种单调假设。方法。调查数据和公司记录数据从大量蓝领和白领员工(N= 2279)中收集。参与是自愿的,保密的,并得到20美元的补偿。结果。通过方差分析(ANOVA)和协方差分析(ANCOVA)发现了酒精问题与其他变量之间几种不同类型的统计关系的证据。有几个变量与酒精问题呈线性关系。也有一些人支持“阈值”效应,即只有问题最严重的饮酒者(占样本的2.6%)在工作态度和总体幸福感指数上有所下降。在某些情况下,那些喝酒但没有酒精问题的人比那些不喝酒或酒精问题相对较多的人表现出更积极的工作和生活态度。的影响。我们的结论是,严格的线性关系不一定能最有效地解释工作与饮酒的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationships Between Alcohol Problems and Well-Being, Work Attitudes, and Performance: Are They Monotonic?

Purpose. Investigators who have examined the relationship between work characteristics and off-the-job alcohol consumption or problems have typically assumed a linear or monotonic relationship (e.g., as work pressures increase, so do alcohol consumption and problems). In the present study, we examine this monotonicity assumption by investigating the nature of the relationships between alcohol problems and multiple demographic, work attitude, well-being, and work performance variables. Method. Survey data and data from company records were collected from a large sample of blue- and white-collar employees (N=2,279). Participation was voluntary, confidential, and compensated with a $20 payment. Results. Evidence for several different types of statistical relationships between alcohol problems and other variables were found through both analyses of variance (ANOVA) and covariance (ANCOVA). There were several variables that were linearly related to alcohol problems. There was also some support for a “threshold” effect where only the most problematic drinkers (2.6% of sample) showed declines on job attitude and general well-being indices. In some cases, those who drank but report no alcohol problems showed significantly more positive job and life attitudes than either those who abstained or those who had relatively more alcohol problems. Implications. We conclude that strict linearly based relationships might not necessarily explain the work-to-drink relationship most effectively.

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