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The Impact of Scale Transformations on National Subjective Well-Being Scores

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  • Cassondra Batz

    (Purdue University)

  • Scott Parrigon

    (Purdue University)

  • Louis Tay

    (Purdue University)

Abstract

Nation-level subjective well-being (SWB) indicators (e.g., happiness and life satisfaction) have received increased interest among researchers and policy makers. This increased interest has led to questions about the measurement and comparability of SWB scores. In this paper, we examined the comparability of scores derived from scale transformations (e.g., the “linear stretch method”): a procedure that places SWB scales with different scale points (e.g., 3-points, 4-points) on a common metric. Controlling for nation-level and temporal trends, our results reveal that scale transformations potentially lead to biases for both happiness and life satisfaction scales. Moreover, these potential biases may affect substantive research. This is illustrated when we demonstrate that scale transformations may substantially attenuate the relation between national Gross Domestic Product per capita and happiness. Implications of these findings and limitations of the current study are discussed.

Suggested Citation

  • Cassondra Batz & Scott Parrigon & Louis Tay, 2016. "The Impact of Scale Transformations on National Subjective Well-Being Scores," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 13-27, October.
    • Handle: RePEc:spr:soinre:v:129:y:2016:i:1:d:10.1007_s11205-015-1088-1
    DOI: 10.1007/s11205-015-1088-1
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    2. Anastasia Charalampi & Catherine Michalopoulou & Clive Richardson, 2020. "Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(1), pages 73-105, March.
    3. Piotr Cichocki & Piotr Jabkowski, 2023. "Response scale overstretch: linear stretching of response scales does not ensure cross-project equivalence in harmonised data," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3729-3745, August.

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