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...

Full description

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
OAI Identifier:
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
id RCUC2_4de1c89955f086300d578985c8e88177
oai_identifier_str oai:repositorio.cuc.edu.co:11323/11352
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
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
dc.type.coar.eng.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.content.eng.fl_str_mv Text
dc.type.driver.eng.fl_str_mv info:eu-repo/semantics/article
dc.type.local.eng.fl_str_mv Journal article
dc.type.redcol.eng.fl_str_mv http://purl.org/redcol/resource_type/ART
dc.type.version.eng.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.eng.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 2145-9258
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11323/11352
dc.identifier.url.none.fl_str_mv https://doi.org/10.17981/cultedusoc.12.2.2021.11
dc.identifier.doi.none.fl_str_mv 10.17981/cultedusoc.12.2.2021.11
dc.identifier.eissn.none.fl_str_mv 2389-7724
identifier_str_mv 2145-9258
10.17981/cultedusoc.12.2.2021.11
2389-7724
url https://hdl.handle.net/11323/11352
https://doi.org/10.17981/cultedusoc.12.2.2021.11
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv Cultura Educación Sociedad
dc.relation.references.eng.fl_str_mv Alf, 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/BF03204171
Bastien, 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)00065-4
Bailey, D. (2016). Democracy: the missing link in the devolution debate. New Economics Foundation Report. http://dx.doi.org/10.13140/RG.2.1.1892.2483
Becker, 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.2017.03.056
Centra, 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. Proceedings on Engineering Sciences, 2(3), 311–322. http://dx.doi.org/10.24874/PES02.03.010
Chakrabartty, S. N. (2019). Limitations of Insomnia Severity Index and possible remedies. JSM Neurological Disorders and Stroke, 5, 1–9. Available from https://www.jsmcentral.org/NeurologicalDisorders/jsmnds284798.pdf
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
Chakrabartty, S. N. (2017). Composite Index: Methods and Properties. Journal of Applied Quantitative Methods, 12(2), 31–41. Available: https://www.jaqm.ro/issues/volume-12,issue-2/2_SA.PHP
Chakravarty, S. R. (2003). A Generalized Human Development Index. Review of Development Economics, 7(1), 99–114. https://doi.org/10.1111/1467-9361.00178
Clark, D. & Mark McGillivray, M. (2007). Measuring Human Well-being: Key Findings and Policy Lessons. Policy Brief 3, 1–8. Available: https://www.wider.unu.edu/sites/default/files/PB2007-003.pdf
Cooke, P. J., Melchert, T. P. & Connor, K. (2016). Measuring well-being: A review of instruments. The Counseling Psychologist, 44(5), 730–757. https://doi.org/10.1177%2F0011000016633507
Cummins, R., Eckersley, R., Pallant, J., Van Vugt, J. & Misajon, R. (2003). Developing a national index of subjective wellbeing: The Australian unity Wellbeing Index. Social Indicators Research, 64(2), 159–190. https://doi.org/10.1023/A:1024704320683
Finn, R. H. (1972). Effects of some variations in rating scale characteristics on the means and reliabilities of ratings. Educational and Psychological Measurement, 32(2), 255–265. https://doi.org/10.1177%2F001316447203200203
Fukuda-Parr, S. (2016). From the Millennium Development Goals to the Sustainable Development Goals: shifts in purpose, concept, and politics of global goal setting for development. Gender & Development, 24(1), 43–52. https://doi.org/10.1080/13552074.2016.1145895
Greco, S., Ishizaka, A., Tasiou, M. & Torrisi, G. (2019). On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness. Social Indicators Research, 141(3), 61–94. https://doi.org/10.1007/s11205-017-1832-9
Herrero, C., Martinez, R. & Villar, A. (2010). Multidimensional social evaluation. An application to the measurement of human development. Review of Income and Wealth, 56, 483–497. https://doi.org/10.1111/j.1475-4991.2009.00375.x
International Wellbeing Group. (2013). Personal Wellbeing Index. [5 Ed.]. Melbourne: Australian Centre on Quality of Life/Deakin University. Available from http://www.acqol.com.au/instruments#measures
Jacobs, R., Smith, P. & Goddard, M. (2004). Measuring performance: an examination of composite performance indicators. [CHE Technical Paper Series 29]. York: Centre for Health Economics. Available from https://www.york.ac.uk/che/pdf/tp29.pdf
Kasparian, J. & Rolland, A. (2012). OECD’s Better life index: can any country be well ranked? Journal of Applied Statistics, 39(10), 1–8. https://doi.org/10.1080/02664763.2012.706265
Kelley, A. (Dec. 1, 2012). Gross National Happiness in Bhutan: The Big Idea from a Tiny State That Could Change the World. theguardian. Available: http://www.theguardian.com/world/2012/dec/01/bhutanwealth-happinesscounts
Kovacevic, M. (2011). Review of HDI Critiques and Potential Improvements. The Human Development Research Paper, HDRP 2010/33. Vienna: United Nations Development Programme (UNDP). Available: http://hdr.undp.org/en/content/review-hdi-critiques-and-potential-improvements
Layard, R. (2010). Measuring subjective well-being. Science, 327, 534–535. https://doi.org/10.1126/science.1186315
Lee, J. A. & Souter, G. (2009). Is Schwartz’s Value Survey an Interval Scale and Does it Really Matter? Journal of Cross-Cultural Psychology, 42(1), 76–86. https://doi.org/10.1177/0022022109348920
Lim, H.-E. (2008). The Use of Different Happiness Rating Scales: Bias and Comparison Problem? Social Indicators Research, 87, 259–267. https://doi.org/10.1007/s11205-007-9171-x
Linton, M.-J., Dieppe, P. & Medina-Lara, A. (2016). Review of 99 self-report measures for assessing well-being in adults: Exploring dimensions of well-being and developments over time. BMJ Open, 6(7), 1–16. http://dx.doi.org/10.1136/bmjopen-2015-010641
Mazziotta, M. & Pareto, A. (settembre 2007). Un indicatore sintetico di dotazione infrastrutturale: il metodo dellepenalità per coefficiente di variazione. In: Atti della XXVIII Conferenza Italiana di Scienze Regionali. AISRe, Bolzano, Italia. Recuperato da https://aisre.it/images/old_papers/Mazziotta-Pareto.pdf
Michalos, A., Smale, B., Labonté, R., Muharjarine, N., Scott, K., Moore, K., Swystun, L., Holden, B., Bernardin, H., Dunning, B., Graham, P., Guhn, M., Gadermann, A.M., Zumbo, B.D., Morgan, A., Brooker, A.-S. & Hyman, I. (2011). The Canadian Index of Wellbeing. [Technical Report 1.0]. Waterloo: CIW. Available from https://uwaterloo.ca/canadian-index-wellbeing/sites/ca.canadian-index-wellbeing/files/uploads/files/Canadian_Index_of_Wellbeing-TechnicalPaper-FINAL.pdf
Mikulić, J., Kožić, I. & Krešić, D. (2015). Weighting indicators of tourism sustainability: A critical note. Ecological Indicators, 48, 312–314. https://doi.org/10.1016/j.ecolind.2014.08.026
Mizobuchi, H. (2014). Measuring world better life frontier: a composite indicator for OECD better life index. Social Indicators Research, 118(3), 987–1007. https://doi.org/10.1007/s11205-013-0457-x
OECD. (2008). Handbook on Constructing Composite Indicators. Methodology and User Guide. Paris: OECD. Available: https://www.oecd.org/els/soc/handbookonconstructingcompositeindicatorsmethodologyanduserguide.htm
Pinar, M. (2019). Multidimensional Wellbeing and Inequality Across the European Regions with Alternative Interactions Between the Wellbeing Dimensions. Social Indicators Research, 144, 31–72. https://doi.org/10.1007/s11205-018-2047-4
Preston, C. C. & Colman, A. M. (2000). Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent preferences. Acta Psychologica, 104, 1–15. https://doi.org/10.1016/S0001-6918(99)00050-5
Ranis, G., Stewart, F. & Samman, E. (2006). Human Development: Beyond the Human Development Index. Journal of Human Development, 7(3), 323–358. https://doi.org/10.1080/14649880600815917
Rao, C. R. (1973). Linear Statistical Inference and its Application. [2 Ed.]. New Delhi: Wiley.
Rath, T. & Harter, J. (2010). The economics of wellbeing. Washington, DC: Gallup Press. Available: https://www.gallup.com/services/177050/economics-wellbeing.aspx
Ray, A. K. (2008). Measurement of social development: An international comparison. Social Indicators Research, 86(1), 1–46. https://doi.org/10.1007/s11205-007-9097-3
Ryff, C. D. & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal of Personality and Social Psychology, 69(4), 719–727. https://doi.org/10.1037/0022-3514.69.4.719
Saisana, M. & Tarantola, S. (2002). State-of-the-art Report on Current Methodologies and Practices for Composite Indicator Development. [EUR20408 EN]. Ispra: European Commission/ Joint Research Centre. http://dx.doi.org/10.13140/RG.2.1.1505.1762
Sen, A. K. (1985). Commodities and capabilities. Amsterdam: North-Holland.
Seth, S. & Villar, A. (2017). Measuring human development and human deprivations. [OPHI Working Paper 110]. Oxford: University of Oxford. Available from https://www.ophi.org.uk/wp-content/uploads/OPHIWP110.pdf
Sharpe, A. (2004). Literature review of frameworks for macro-indicators. [CSLS Research Report 2004-03]. Ottawa: Centre for the Study of Living Standards. Available from https://core.ac.uk/download/pdf/7033316.pdf
SPRG. (2001). Report of the Scientific Peer Review Group on Health Systems Performance Assessment. [Scientific Peer Review Group (SPRG)]. Geneva: WHO. Available: https://apps.who.int/iris/handle/10665/68352
Stiglitz, J. E., Sen, A. & Fitoussi, J.-P. (2009). Report by the Commission on the Measurement of Economic Performance and Social Progress. París: CMEPSP. Available from https://ec.europa.eu/eurostat/documents/8131721/8131772/Stiglitz-Sen-Fitoussi-Commission-report.pdf
UNDP. (2007). Fighting climate change: Human solidarity in a divided world. [Human development report 2007/2008]. New York: Palgrave Macmillan. Available: http://hdr.undp.org/en/content/human-development-report-20078
Venkatesh, A. K. & Bernheim, S. M. (Dir.) (2016). Overall hospital quality star ratings on hospital compare. [Methodology report (v2.0)]. New Haven: YNHH SC/CORE. Available from https://cpb-us-w2.wpmucdn.com/u.osu.edu/dist/c/28860/files/2016/08/Star_Rtngs_CompMthdlgy_052016-148w094.pdf
Ware Jr, J. E. & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30(6), 473–483. Available: https://pubmed.ncbi.nlm.nih.gov/1593914/
Yang, L. (2018). Measuring individual well-being: A multidimensional index integrating subjective well-being and preferences. Journal of Human Development and Capabilities, 19(4), 456–476. https://doi.org/10.1080/19452829.2018.1474859
Zarzosa, P. Z. & Somarriba, N. (2012). An Assessment of Social Welfare in Spain: Territorial Analysis Using a Synthetic Welfare Indicator. Social Indicators Research, 111(1), 1–23. https://doi.org/10.1007/s11205-012-0005-0
dc.relation.citationendpage.none.fl_str_mv 204
dc.relation.citationstartpage.none.fl_str_mv 181
dc.relation.citationissue.spa.fl_str_mv 2
dc.relation.citationvolume.spa.fl_str_mv 12
dc.relation.bitstream.none.fl_str_mv https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/download/3276/3742
https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/download/3276/3743
https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/download/3276/3744
dc.relation.citationedition.spa.fl_str_mv Núm. 2 , Año 2021 : Cultura Educación y Sociedad
dc.rights.eng.fl_str_mv CULTURA EDUCACIÓN Y SOCIEDAD - 2021
dc.rights.uri.eng.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.eng.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.eng.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv CULTURA EDUCACIÓN Y SOCIEDAD - 2021
https://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.eng.fl_str_mv application/pdf
text/html
text/xml
dc.publisher.spa.fl_str_mv Universidad de la Costa
dc.source.eng.fl_str_mv https://revistascientificas.cuc.edu.co/culturaeducacionysociedad/article/view/3276
institution Corporación Universidad de la Costa
bitstream.url.fl_str_mv https://repositorio.cuc.edu.co/bitstream/11323/11352/1/ORE.xml
bitstream.checksum.fl_str_mv 202c9d0a908e7a12a2ee3b24a0e58425
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio Universidad de La Costa
repository.mail.fl_str_mv repdigital@cuc.edu.co
_version_ 1808400214885662720
spelling Chakrabartty, Satyendra Nathac5809107deb41302fff0e9f7f05a8765002021-07-01 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. Proceedings on Engineering Sciences, 2(3), 311–322. http://dx.doi.org/10.24874/PES02.03.010Chakrabartty, S. N. (2019). Limitations of Insomnia Severity Index and possible remedies. JSM Neurological Disorders and Stroke, 5, 1–9. Available from https://www.jsmcentral.org/NeurologicalDisorders/jsmnds284798.pdfChakrabartty, S. N. (2019b). Alternate measure of disability intensity: Modified Rankin Scale. Journal of Stroke Medicine, 2(2), 111–118, https://doi.org/10.1177/2516608519870703Chakrabartty, S. N. (2017). Composite Index: Methods and Properties. Journal of Applied Quantitative Methods, 12(2), 31–41. Available: https://www.jaqm.ro/issues/volume-12,issue-2/2_SA.PHPChakravarty, S. R. (2003). A Generalized Human Development Index. Review of Development Economics, 7(1), 99–114. https://doi.org/10.1111/1467-9361.00178Clark, D. & Mark McGillivray, M. (2007). Measuring Human Well-being: Key Findings and Policy Lessons. Policy Brief 3, 1–8. Available: https://www.wider.unu.edu/sites/default/files/PB2007-003.pdfCooke, P. J., Melchert, T. P. & Connor, K. (2016). Measuring well-being: A review of instruments. The Counseling Psychologist, 44(5), 730–757. https://doi.org/10.1177%2F0011000016633507Cummins, R., Eckersley, R., Pallant, J., Van Vugt, J. & Misajon, R. (2003). Developing a national index of subjective wellbeing: The Australian unity Wellbeing Index. Social Indicators Research, 64(2), 159–190. https://doi.org/10.1023/A:1024704320683Finn, R. H. (1972). Effects of some variations in rating scale characteristics on the means and reliabilities of ratings. Educational and Psychological Measurement, 32(2), 255–265. https://doi.org/10.1177%2F001316447203200203Fukuda-Parr, S. (2016). From the Millennium Development Goals to the Sustainable Development Goals: shifts in purpose, concept, and politics of global goal setting for development. Gender & Development, 24(1), 43–52. https://doi.org/10.1080/13552074.2016.1145895Greco, S., Ishizaka, A., Tasiou, M. & Torrisi, G. (2019). On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness. Social Indicators Research, 141(3), 61–94. https://doi.org/10.1007/s11205-017-1832-9Herrero, C., Martinez, R. & Villar, A. (2010). Multidimensional social evaluation. An application to the measurement of human development. Review of Income and Wealth, 56, 483–497. https://doi.org/10.1111/j.1475-4991.2009.00375.xInternational Wellbeing Group. (2013). Personal Wellbeing Index. [5 Ed.]. Melbourne: Australian Centre on Quality of Life/Deakin University. Available from http://www.acqol.com.au/instruments#measuresJacobs, R., Smith, P. & Goddard, M. (2004). Measuring performance: an examination of composite performance indicators. [CHE Technical Paper Series 29]. York: Centre for Health Economics. Available from https://www.york.ac.uk/che/pdf/tp29.pdfKasparian, J. & Rolland, A. (2012). OECD’s Better life index: can any country be well ranked? Journal of Applied Statistics, 39(10), 1–8. https://doi.org/10.1080/02664763.2012.706265Kelley, A. (Dec. 1, 2012). Gross National Happiness in Bhutan: The Big Idea from a Tiny State That Could Change the World. theguardian. Available: http://www.theguardian.com/world/2012/dec/01/bhutanwealth-happinesscountsKovacevic, M. (2011). Review of HDI Critiques and Potential Improvements. The Human Development Research Paper, HDRP 2010/33. Vienna: United Nations Development Programme (UNDP). Available: http://hdr.undp.org/en/content/review-hdi-critiques-and-potential-improvementsLayard, R. (2010). Measuring subjective well-being. Science, 327, 534–535. https://doi.org/10.1126/science.1186315Lee, J. A. & Souter, G. (2009). Is Schwartz’s Value Survey an Interval Scale and Does it Really Matter? Journal of Cross-Cultural Psychology, 42(1), 76–86. https://doi.org/10.1177/0022022109348920Lim, H.-E. (2008). The Use of Different Happiness Rating Scales: Bias and Comparison Problem? Social Indicators Research, 87, 259–267. https://doi.org/10.1007/s11205-007-9171-xLinton, M.-J., Dieppe, P. & Medina-Lara, A. (2016). Review of 99 self-report measures for assessing well-being in adults: Exploring dimensions of well-being and developments over time. BMJ Open, 6(7), 1–16. http://dx.doi.org/10.1136/bmjopen-2015-010641Mazziotta, M. & Pareto, A. (settembre 2007). Un indicatore sintetico di dotazione infrastrutturale: il metodo dellepenalità per coefficiente di variazione. In: Atti della XXVIII Conferenza Italiana di Scienze Regionali. AISRe, Bolzano, Italia. Recuperato da https://aisre.it/images/old_papers/Mazziotta-Pareto.pdfMichalos, A., Smale, B., Labonté, R., Muharjarine, N., Scott, K., Moore, K., Swystun, L., Holden, B., Bernardin, H., Dunning, B., Graham, P., Guhn, M., Gadermann, A.M., Zumbo, B.D., Morgan, A., Brooker, A.-S. & Hyman, I. (2011). The Canadian Index of Wellbeing. [Technical Report 1.0]. Waterloo: CIW. Available from https://uwaterloo.ca/canadian-index-wellbeing/sites/ca.canadian-index-wellbeing/files/uploads/files/Canadian_Index_of_Wellbeing-TechnicalPaper-FINAL.pdfMikulić, J., Kožić, I. & Krešić, D. (2015). Weighting indicators of tourism sustainability: A critical note. Ecological Indicators, 48, 312–314. https://doi.org/10.1016/j.ecolind.2014.08.026Mizobuchi, H. (2014). Measuring world better life frontier: a composite indicator for OECD better life index. Social Indicators Research, 118(3), 987–1007. https://doi.org/10.1007/s11205-013-0457-xOECD. (2008). Handbook on Constructing Composite Indicators. Methodology and User Guide. Paris: OECD. Available: https://www.oecd.org/els/soc/handbookonconstructingcompositeindicatorsmethodologyanduserguide.htmPinar, M. (2019). Multidimensional Wellbeing and Inequality Across the European Regions with Alternative Interactions Between the Wellbeing Dimensions. Social Indicators Research, 144, 31–72. https://doi.org/10.1007/s11205-018-2047-4Preston, C. C. & Colman, A. M. (2000). Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent preferences. Acta Psychologica, 104, 1–15. https://doi.org/10.1016/S0001-6918(99)00050-5Ranis, G., Stewart, F. & Samman, E. (2006). Human Development: Beyond the Human Development Index. Journal of Human Development, 7(3), 323–358. https://doi.org/10.1080/14649880600815917Rao, C. R. (1973). Linear Statistical Inference and its Application. [2 Ed.]. New Delhi: Wiley.Rath, T. & Harter, J. (2010). The economics of wellbeing. Washington, DC: Gallup Press. Available: https://www.gallup.com/services/177050/economics-wellbeing.aspxRay, A. K. (2008). Measurement of social development: An international comparison. Social Indicators Research, 86(1), 1–46. https://doi.org/10.1007/s11205-007-9097-3Ryff, C. D. & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal of Personality and Social Psychology, 69(4), 719–727. https://doi.org/10.1037/0022-3514.69.4.719Saisana, M. & Tarantola, S. (2002). State-of-the-art Report on Current Methodologies and Practices for Composite Indicator Development. [EUR20408 EN]. Ispra: European Commission/ Joint Research Centre. http://dx.doi.org/10.13140/RG.2.1.1505.1762Sen, A. K. (1985). Commodities and capabilities. Amsterdam: North-Holland.Seth, S. & Villar, A. (2017). Measuring human development and human deprivations. [OPHI Working Paper 110]. Oxford: University of Oxford. Available from https://www.ophi.org.uk/wp-content/uploads/OPHIWP110.pdfSharpe, A. (2004). Literature review of frameworks for macro-indicators. [CSLS Research Report 2004-03]. Ottawa: Centre for the Study of Living Standards. Available from https://core.ac.uk/download/pdf/7033316.pdfSPRG. (2001). Report of the Scientific Peer Review Group on Health Systems Performance Assessment. [Scientific Peer Review Group (SPRG)]. Geneva: WHO. Available: https://apps.who.int/iris/handle/10665/68352Stiglitz, J. E., Sen, A. & Fitoussi, J.-P. (2009). Report by the Commission on the Measurement of Economic Performance and Social Progress. París: CMEPSP. Available from https://ec.europa.eu/eurostat/documents/8131721/8131772/Stiglitz-Sen-Fitoussi-Commission-report.pdfUNDP. (2007). Fighting climate change: Human solidarity in a divided world. [Human development report 2007/2008]. New York: Palgrave Macmillan. Available: http://hdr.undp.org/en/content/human-development-report-20078Venkatesh, A. K. & Bernheim, S. M. (Dir.) (2016). Overall hospital quality star ratings on hospital compare. [Methodology report (v2.0)]. New Haven: YNHH SC/CORE. Available from https://cpb-us-w2.wpmucdn.com/u.osu.edu/dist/c/28860/files/2016/08/Star_Rtngs_CompMthdlgy_052016-148w094.pdfWare Jr, J. E. & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30(6), 473–483. Available: https://pubmed.ncbi.nlm.nih.gov/1593914/Yang, L. (2018). Measuring individual well-being: A multidimensional index integrating subjective well-being and preferences. Journal of Human Development and Capabilities, 19(4), 456–476. https://doi.org/10.1080/19452829.2018.1474859Zarzosa, P. Z. & Somarriba, N. (2012). An Assessment of Social Welfare in Spain: Territorial Analysis Using a Synthetic Welfare Indicator. 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 SociedadOREORE.xmltext/xml2532https://repositorio.cuc.edu.co/bitstream/11323/11352/1/ORE.xml202c9d0a908e7a12a2ee3b24a0e58425MD51open access11323/11352oai:repositorio.cuc.edu.co:11323/113522024-04-09 14:55:24.821An error occurred on the license name.|||https://creativecommons.org/licenses/by-nc-nd/4.0/metadata only accessRepositorio Universidad de La Costarepdigital@cuc.edu.co

Publicaciones similares