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量表标准化破坏了生活满意度量表数据在福利分析中的应用。

Scale Norming Undermines the Use of Life Satisfaction Scale Data for Welfare Analysis.

作者信息

Fabian Mark

机构信息

Department of Politics and International Studies, The Bennett Institute for Public Policy, University of Cambridge, Alison Richard Building, 7 West Road, Cambridge, CB3 9DT UK.

出版信息

J Happiness Stud. 2022;23(4):1509-1541. doi: 10.1007/s10902-021-00460-8. Epub 2021 Oct 12.

Abstract

Scale norming is where respondents use qualitatively different scales to answer the same question across survey waves. It makes responses challenging to compare intertemporally or interpersonally. This paper develops a formal model of the cognitive process that could give rise to scale norming in year on year responses to life satisfaction scale questions. It then uses this model to conceptually differentiate scale norming from adaptation and changes in reference points. Scale norming could make life satisfaction responses misleading with regards to the changing welfare of individuals. In particular, individuals who would say that their life is "improving" or "going well" might nonetheless give the same scale response year after year. This has negative implications for the use of scales in cost-benefit analysis and other welfarist applications. While there is already substantial empirical evidence for the existence of scale norming, its implications for welfare analysis are sometimes understated on the grounds that this evidence might simply be the product of errors of memory. The paper presents new empirical evidence for scale norming from two surveys (N1 = 278; N2 = 1050) designed such that errors of memory are an unconvincing explanation for the results.

摘要

量表标准化是指受访者在不同调查阶段使用质的不同的量表来回答相同的问题。这使得跨时间或人际比较回答变得具有挑战性。本文建立了一个认知过程的形式模型,该模型可能导致对生活满意度量表问题的逐年回答中出现量表标准化。然后,本文使用该模型从概念上区分量表标准化与适应以及参考点的变化。量表标准化可能会使生活满意度回答在个体福利变化方面产生误导。特别是,那些会说自己的生活“正在改善”或“进展顺利”的人,可能年复一年给出相同的量表回答。这对成本效益分析和其他福利主义应用中量表的使用具有负面影响。虽然已经有大量关于量表标准化存在的实证证据,但其对福利分析的影响有时被轻描淡写,理由是这些证据可能仅仅是记忆错误的产物。本文从两项调查(N1 = 278;N2 = 1050)中给出了关于量表标准化的新实证证据,这两项调查的设计使得记忆错误对结果来说是一个不可信的解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d7/8506099/445b403e841d/10902_2021_460_Fig1_HTML.jpg

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