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A distributional approach to understanding generational differences: What do you mean they vary?
Journal of Vocational Behavior ( IF 11.1 ) Pub Date : 2021-05-06 , DOI: 10.1016/j.jvb.2021.103585
David P. Costanza , Daniel M. Ravid , Andrew J. Slaughter

Research on generational differences has typically focused on how the current generation is different than those in the past and the implications of such differences for work and non-work outcomes. This research is often based on the assumption that experiences shared by individuals at particular ages and points in time create distinct generational cohorts. However, most studies have only looked at mean differences while ignoring differences in the extent to which variability within the generation represents the shared experiences mechanism and changes in within-generation variability reflecting shared experiences have not been tested. In this paper, we used Bayesian non-parametric modeling techniques to simultaneously model changes in both means and variances over time on a measure commonly used to characterize generations, the Narcissistic Personality Inventory (NPI). Results showed that there were no systematic changes in NPI variances during the last 35 years and some evidence of small, non-linear changes in NPI means. These results differ from previous studies that did not address variability but did find mean generational differences in narcissism, raising questions about those studies as well as about research on generational differences and the methods used to assess change over time.



中文翻译:

一种理解代际差异的分布式方法:您是什么意思,它们之间存在差异?

有关代际差异的研究通常集中在当前代与过去的代际差异以及此类差异对工作和非工作成果的影响上。这项研究通常基于这样的假设:在特定年龄和时间点,个人共享的经验会产生不同的世代队列。但是,大多数研究仅关注均值差异,而忽略了代内变异代表共享经验机制的程度差异,并且未检验反映共享经验的代内变异性变化。在本文中,我们使用贝叶斯非参数建模技术,以一种通常用于表征世代的度量同时对均值和方差随时间的变化进行建模,自恋型人格量表(NPI)。结果表明,在过去的35年中,NPI的方差没有系统的变化,并且有一些证据表明NPI均值的微小非线性变化。这些结果与以前的研究不同,后者没有研究变异性,但确实发现了自恋的平均代际差异,这引发了有关这些研究以及关于代际差异的研究以及用于评估随时间变化的方法的问题。

更新日期:2021-05-06
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