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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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    Cited by:

    1. Grane Chávez, Aurea & Alonso González, Pablo J. & Albarrán Lozano, Irene, 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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