Use and Misuse of PCA for Measuring Well-Being

被引：0
作者：
Matteo Mazziotta
Adriano Pareto
机构：
[1] Italian National Institute of Statistics,
[2] Italian National Institute of Statistics,undefined
来源：
Social Indicators Research | 2019年 / 142卷
关键词：
Data reduction; Composite indicator; Measurement model; Well-being;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The measurement of well-being of people is very difficult because it is characterized by a multiplicity of aspects or dimensions. Principal Components Analysis (PCA) is probably the most popular multivariate statistical technique for reducing data with many dimensions and, often, well-being indicators are reduced to a single index of well-being by using PCA. However, PCA is implicitly based on a reflective measurement model that is not suitable for all types of indicators. In this paper, we discuss the use and misuse of PCA for measuring well-being, and we show some applications to real data.
引用
收藏
页码：451 / 476
页数：25
相关论文
共 75 条
  • [1] Biswas B(2002)A multivariate analysis of the human development index Indian Economic Journal 49 96-100
  • [2] Caliendo F(2012)Beyond GDP: Classifying alternative measures for progress Social Indicators Research 109 355-376
  • [3] Bleys B(2002)An overview and evaluation of composite indices of development Social Indicators Research 59 115-151
  • [4] Booysen F(2003)The theoretical status of latent variables Psychological Review 110 203-219
  • [5] Borsboom D(2013)Improper use of endogenous formative variables Journal of Business Research 66 233-241
  • [6] Mellenbergh GJ(2017)A new class of composite indicators for measuring well-being at the local level: An application to the Equitable and Sustainable Well-being (BES) of the Italian Provinces Ecological Indicators 76 281-296
  • [7] Heerden JV(2008)Formative versus reflective measurement models: Two applications of formative measurement Journal of Business Research 61 1250-1262
  • [8] Cadogan JW(2006)The error term in formative measurement models: Interpretation and modeling implications Journal of Modeling in Management 1 7-17
  • [9] Lee N(2008)Advancing formative measurement models Journal of Business Research 61 1203-1218
  • [10] Chelli F(2001)Index construction with formative indicators: An alternative to scale development Journal of Marketing Research 38 269-277
12345678