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退休前阶段失业概念的边界:探索对工作机会丧失的扩展衡量

Boundaries of the Construct of Unemployment in the Preretirement Years: Exploring an Expanded Measurement of Lost-Work Opportunity.

作者信息

Voss Maren Wright, Al Snih Soham, Li Wei, Hung Man, Richards Lorie Gage

机构信息

Health and Wellness Extension, Utah State University, Logan, Utah, USA.

College of Health, Division of Rehabilitation Sciences, University of Utah, Salt Lake City, Utah, USA.

出版信息

Work Aging Retire. 2020 Jan;6(1):59-63. doi: 10.1093/workar/waz006. Epub 2019 Jun 27.

Abstract

There is uncertainty related to whether retirement negatively affects health-possibly due to complexity around retirement decisions. Lost-work opportunity through unemployment or forced retirement has been shown to negatively affect health. Lost-work opportunity can be captured in two measurement fields, either a reported experience of being forced into retirement or reported unemployment. However, 17% of individuals retiring due to the loss of work opportunity identified in qualitative interviewing (i.e., unemployment, temporary lay-offs, company buy-outs, forced relocations, etc.) do not report this unemployment or involuntary retirement in quantitative survey responses. We propose broadening the conceptualization of late-career unemployment to incorporate other lost work opportunity scenarios. Using the Health and Retirement Study (HRS), a lost-work opportunity score (LOS) was computed from items indicating unemployment and forced or unplanned retirement. Correlations were computed between this LOS and all continuous variables in the RAND longitudinal compilation of the HRS to determine its convergent and discriminant validity. The LOS demonstrated a Chronbach's alpha of α = .82 and had convergent validity with constructs of employment (9 variables), finances (36 variables), and health (14 variables), as predicted by the literature on retirement timing. No other continuous variables in the HRS were identified with a moderate or strong correlation to LOS, demonstrating discriminant validity. Further research should explore whether a combination of variables in the HRS can improve the accuracy of measuring lost-work opportunity. Improved precision in measurement, through an expanded conceptualization of lost-work opportunity, may help explicate the retirement-related factors that affect health, to inform policy and support healthy aging decisions at a societal level.

摘要

退休是否会对健康产生负面影响存在不确定性——这可能是由于退休决策的复杂性所致。因失业或强制退休而失去工作机会已被证明会对健康产生负面影响。失去工作机会可以在两个测量领域中体现,要么是报告的被迫退休经历,要么是报告的失业情况。然而,在定性访谈中确定因失去工作机会而退休的个体中(即失业、临时裁员、公司收购、强制搬迁等),有17%在定量调查回复中未报告这种失业或非自愿退休情况。我们建议拓宽职业后期失业的概念化,以纳入其他失去工作机会的情形。利用健康与退休研究(HRS),根据表明失业以及强制或非计划退休的项目计算出一个失去工作机会得分(LOS)。计算该LOS与HRS的兰德纵向汇编中的所有连续变量之间的相关性,以确定其收敛效度和区分效度。LOS的克朗巴哈系数α = 0.82,并且正如退休时间相关文献所预测的,与就业(9个变量)、财务(36个变量)和健康(14个变量)的构念具有收敛效度。HRS中没有其他连续变量与LOS具有中度或强相关性,表明具有区分效度。进一步的研究应探索HRS中的变量组合是否能提高测量失去工作机会的准确性。通过对失去工作机会进行扩展概念化来提高测量精度,可能有助于阐明影响健康的退休相关因素,为政策提供信息并在社会层面支持健康老龄化决策。

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