Do transformation methods matter?

Lenka Hudrlikova, Jana Kramulová
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Abstract

The general aim of a multitude of research projects is to assess a social, economic or environmental process or phenomenon by various indicators that are often measured in different units. In such situations, the data transformation and/or normalisation are inevitable. The present paper focuses on benefits and drawbacks of different normalisation methods. Further, it compares the results produced by several methods from the consistency and quality of the measurement perspective. The case of Czech NUTS 3 regions sustainability indicators is introduced. The authors employ 40 indicators divided into three sustainability pillars, attempting to conclude which method is the most suitable for further statistical analysis under the preference of dimensionless numbers.
转换方法重要吗?
许多研究项目的一般目的是通过各种指标来评估社会、经济或环境过程或现象,这些指标通常以不同的单位来衡量。在这种情况下,数据转换和/或规范化是不可避免的。本文着重讨论了不同归一化方法的优缺点。进一步,从测量的一致性和质量角度比较了几种方法产生的结果。介绍了捷克NUTS 3区域可持续性指标的案例。作者采用了40个指标,分为三个可持续性支柱,试图得出在无因次数偏好的情况下,哪种方法最适合进一步的统计分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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