Índice de bienestar evitando escalado y ponderaciones

Las medidas de bienestar existentes difieren en términos de número y formato de elementos, factores que se miden, métodos de agregación y no son comparables. Una medida de bienestar implica combinar un número n de indicadores y la calidad de la medida depende de las propiedades de los procedimientos...

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Autores:
Chakrabartty, Satyendra Nath
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
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oai:repositorio.cuc.edu.co:11323/11352
Acceso en línea:
https://hdl.handle.net/11323/11352
https://doi.org/10.17981/cultedusoc.12.2.2021.11
Palabra clave:
Índice de bienestar
Significado geométrico
Prueba de inversión de tiempo
Indices de cadena
Wellbeing index
Geometric mean
Monotonically increasing
Time reversal test
Chain indices
Rights
openAccess
License
CULTURA EDUCACIÓN Y SOCIEDAD - 2021
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dc.title.spa.fl_str_mv Índice de bienestar evitando escalado y ponderaciones
dc.title.translated.eng.fl_str_mv Wellbeing index avoiding scaling and weights
title Índice de bienestar evitando escalado y ponderaciones
spellingShingle Índice de bienestar evitando escalado y ponderaciones
Índice de bienestar
Significado geométrico
Prueba de inversión de tiempo
Indices de cadena
Wellbeing index
Geometric mean
Monotonically increasing
Time reversal test
Chain indices
title_short Índice de bienestar evitando escalado y ponderaciones
title_full Índice de bienestar evitando escalado y ponderaciones
title_fullStr Índice de bienestar evitando escalado y ponderaciones
title_full_unstemmed Índice de bienestar evitando escalado y ponderaciones
title_sort Índice de bienestar evitando escalado y ponderaciones
dc.creator.fl_str_mv Chakrabartty, Satyendra Nath
dc.contributor.author.spa.fl_str_mv Chakrabartty, Satyendra Nath
dc.subject.spa.fl_str_mv Índice de bienestar
Significado geométrico
Prueba de inversión de tiempo
Indices de cadena
topic Índice de bienestar
Significado geométrico
Prueba de inversión de tiempo
Indices de cadena
Wellbeing index
Geometric mean
Monotonically increasing
Time reversal test
Chain indices
dc.subject.eng.fl_str_mv Wellbeing index
Geometric mean
Monotonically increasing
Time reversal test
Chain indices
description Las medidas de bienestar existentes difieren en términos de número y formato de elementos, factores que se miden, métodos de agregación y no son comparables. Una medida de bienestar implica combinar un número n de indicadores y la calidad de la medida depende de las propiedades de los procedimientos de combinación adoptados. El artículo propone dos métodos de agregación sin supuestos para satisfacer las propiedades deseadas de un índice en términos de similitud de coseno y Media Geométrica (GM), evitando problemas asociados con el escalado de datos brutos y la elección de pesos. Se proporciona una ilustración empírica sobre la aplicación de las medidas propuestas. Los índices propuestos brindan una mejor admisibilidad de las operaciones y satisfacen propiedades como la prueba de inversión del tiempo, la formación de índices en cadena, el cálculo de la media del grupo y las pruebas estadísticas para la comparación en el tiempo y el espacio. El índice preferido se puede construir incluso para datos longitudinales asimétricos y ayuda a reflejar la trayectoria de mejora registrada por un país/región a lo largo del tiempo. Se prefiere el índice basado en GM debido a áreas de aplicación más amplias. El índice se puede utilizar además para clasificar países, subgrupos e incluso personas con morbilidad en términos de valores generales de bienestar. Se sugieren estudios futuros.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-07-01 00:00:00
2024-04-09T19:55:24Z
dc.date.available.none.fl_str_mv 2021-07-01 00:00:00
2024-04-09T19:55:24Z
dc.date.issued.none.fl_str_mv 2021-07-01
dc.type.spa.fl_str_mv Artículo de revista
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https://doi.org/10.17981/cultedusoc.12.2.2021.11
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language eng
dc.relation.ispartofjournal.spa.fl_str_mv Cultura Educación Sociedad
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Chakrabartty, S. N. (2019b). Alternate measure of disability intensity: Modified Rankin Scale. Journal of Stroke Medicine, 2(2), 111–118, https://doi.org/10.1177/2516608519870703
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spelling Chakrabartty, Satyendra Nath2021-07-01 00:00:002024-04-09T19:55:24Z2021-07-01 00:00:002024-04-09T19:55:24Z2021-07-012145-9258https://hdl.handle.net/11323/11352https://doi.org/10.17981/cultedusoc.12.2.2021.1110.17981/cultedusoc.12.2.2021.112389-7724Las medidas de bienestar existentes difieren en términos de número y formato de elementos, factores que se miden, métodos de agregación y no son comparables. Una medida de bienestar implica combinar un número n de indicadores y la calidad de la medida depende de las propiedades de los procedimientos de combinación adoptados. El artículo propone dos métodos de agregación sin supuestos para satisfacer las propiedades deseadas de un índice en términos de similitud de coseno y Media Geométrica (GM), evitando problemas asociados con el escalado de datos brutos y la elección de pesos. Se proporciona una ilustración empírica sobre la aplicación de las medidas propuestas. Los índices propuestos brindan una mejor admisibilidad de las operaciones y satisfacen propiedades como la prueba de inversión del tiempo, la formación de índices en cadena, el cálculo de la media del grupo y las pruebas estadísticas para la comparación en el tiempo y el espacio. El índice preferido se puede construir incluso para datos longitudinales asimétricos y ayuda a reflejar la trayectoria de mejora registrada por un país/región a lo largo del tiempo. Se prefiere el índice basado en GM debido a áreas de aplicación más amplias. El índice se puede utilizar además para clasificar países, subgrupos e incluso personas con morbilidad en términos de valores generales de bienestar. Se sugieren estudios futuros.Existing well-being measures differ in terms of number and format of items, factors being measured, aggregation methods, and are not comparable. A well-being measure involves combining n- number of indicators and quality of the measure depends on properties of combining procedures adopted. The paper proposes two assumption-free aggregation methods to satisfy the desired properties of an index The paper proposes two indices of well-being in terms of cosine similarity and Geometric Mean (GM) avoiding problems associated with scaling of raw data and choosing of weights. Empirical illustration is provided on application of the proposed measures. The proposed indices give better admissibility of operations and satisfy properties like time-reversal test, formation of chain indices, computation of group mean and statistical tests for comparison across time and space. The preferred index can be constructed even for skewed longitudinal data and helps to reflect path of improvement registered by a country/region over time. The index based on GM is preferred due to wider application areas. The index can further be used for classification of countries, sub-groups and even individuals with morbidity in terms of overall wellbeing values. Future studies suggested.application/pdftext/htmltext/xmlengUniversidad de la CostaCULTURA EDUCACIÓN Y SOCIEDAD - 2021https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.http://purl.org/coar/access_right/c_abf2https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/view/3276Índice de bienestarSignificado geométricoPrueba de inversión de tiempoIndices de cadenaWellbeing indexGeometric meanMonotonically increasingTime reversal testChain indicesÍndice de bienestar evitando escalado y ponderacionesWellbeing index avoiding scaling and weightsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articleJournal articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Cultura Educación SociedadAlf, E. F. & Grossberg, J. M. (1979). The geometric mean: Confidence limits and significance tests. Perception &Psychophysics, 26(5), 419–421. https://doi.org/10.3758/BF03204171Bastien, C. H., Vallieres, A. & Morin, C. M. (2001). Validation of the Insomnia Severity. Index as an outcome measure for insomnia research. Sleep Medicine, 2(4), 297–307. https://doi.org/10.1016/s1389-9457(00)00065-4Bailey, D. (2016). Democracy: the missing link in the devolution debate. New Economics Foundation Report. http://dx.doi.org/10.13140/RG.2.1.1892.2483Becker, W., Saisana, M., Paruolo, P. & Vandecasteele, I. (2017). Weights and importance in composite indicators: Closing the gap. Ecological Indicators, 80, 12–22. https://doi.org/10.1016/j.ecolind.2017.03.056Centra, L. (1998). New information about health-related quality of life. NACCHO News, 13(2).Chakrabartty, S. N. (2020). Combining Likert items with different number of Response categories. 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Social Indicators Research, 111(1), 1–23. https://doi.org/10.1007/s11205-012-0005-0204181212https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/download/3276/3742https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/download/3276/3743https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/download/3276/3744Núm. 2 , Año 2021 : Cultura Educación y SociedadPublicationOREORE.xmltext/xml2532https://repositorio.cuc.edu.co/bitstreams/35987430-ffed-4913-a179-1d6e64b3edcd/download202c9d0a908e7a12a2ee3b24a0e58425MD5111323/11352oai:repositorio.cuc.edu.co:11323/113522024-09-17 14:15:38.893https://creativecommons.org/licenses/by-nc-nd/4.0/CULTURA EDUCACIÓN Y SOCIEDAD - 2021metadata.onlyhttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.co

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