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Profile identification via weighted related metric scaling: an application to dependent Spanish children

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  • Irene Albarrán
  • Pablo Alonso
  • Aurea Grané

Abstract

type="main" xml:id="rssa12084-abs-0001"> Disability and dependence (lack of autonomy in performing common everyday actions) affect health status and quality of life; therefore they are significant public health issues. The main purpose of this study is to use classical multi-dimensional scaling techniques to design dependence profiles for Spanish children between 3 and 6 years old. The data come from the Survey about Disabilities, Personal Autonomy and Dependence Situations, 2008. Two distance (or dissimilarity) functions between individuals are considered: the classical approach using Gower's similarity coefficient and weighted related metric scaling. Both approaches can cope with different types of information (quantitative, multistate categorical and binary variables). However, the Euclidean configurations that are obtained via weighted related metric scaling present a higher percentage of explained variability and higher stability.

Suggested Citation

  • Irene Albarrán & Pablo Alonso & Aurea Grané, 2015. "Profile identification via weighted related metric scaling: an application to dependent Spanish children," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 593-618, June.
    • Handle: RePEc:bla:jorssa:v:178:y:2015:i:3:p:593-618
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    File URL: http://hdl.handle.net/10.1111/rssa.2015.178.issue-3
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    Citations

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    Cited by:

    1. Aurea Grané & Alpha A. Sow-Barry, 2021. "Visualizing Profiles of Large Datasets of Weighted and Mixed Data," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
    2. Aurea Grané & Irene Albarrán & Qi Guo, 2021. "Visualizing Health and Well-Being Inequalities Among Older Europeans," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 479-503, June.
    3. Aurea Grané & Irene Albarrán & Roger Lumley, 2020. "Visualizing Inequality in Health and Socioeconomic Wellbeing in the EU: Findings from the SHARE Survey," IJERPH, MDPI, vol. 17(21), pages 1-18, October.
    4. Albarrán Lozano, Irene & Alonso González, Pablo J. & Grané Chávez, Aurea, 2017. "Estimating life expectancy free of dependency : group characterization through the proximity to the deepest dependency path," DES - Working Papers. Statistics and Econometrics. WS 24672, Universidad Carlos III de Madrid. Departamento de Estadística.

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