Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis

Happiness has been proposed as an alternative goal in welfare analyses. Several indices have been proposed for its measurement but studies about their metric properties and validity are insufficient. In this paper, the Happy Planet Index is analyzed in terms of its consequential validity as a global...

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Autores:
Rojas-Gualdrón, Diego Fernando
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad de San Buenaventura
Repositorio:
Repositorio USB
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.usb.edu.co:10819/25796
Acceso en línea:
https://hdl.handle.net/10819/25796
https://doi.org/10.21500/20112084.2995
Palabra clave:
Economics
Global health
Happiness
Health Inequalities
Validation studies
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openAccess
License
International Journal of Psychological Research - 2017
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dc.title.spa.fl_str_mv Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis
dc.title.translated.spa.fl_str_mv Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis
title Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis
spellingShingle Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis
Economics
Global health
Happiness
Health Inequalities
Validation studies
title_short Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis
title_full Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis
title_fullStr Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis
title_full_unstemmed Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis
title_sort Inter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysis
dc.creator.fl_str_mv Rojas-Gualdrón, Diego Fernando
dc.contributor.author.eng.fl_str_mv Rojas-Gualdrón, Diego Fernando
dc.subject.eng.fl_str_mv Economics
Global health
Happiness
Health Inequalities
Validation studies
topic Economics
Global health
Happiness
Health Inequalities
Validation studies
description Happiness has been proposed as an alternative goal in welfare analyses. Several indices have been proposed for its measurement but studies about their metric properties and validity are insufficient. In this paper, the Happy Planet Index is analyzed in terms of its consequential validity as a global health inequality indicator from the invariant measurement perspective of the Rasch model. Model fit is analyzed with emphasis on differential item functioning when comparing between world regions, and its consequential validity by comparing conclusions about the magnitude and inequalities in countries’ happiness. Main findings show enough evidences for structural and construct validity, but not for the supposed underlying score distribution; not either for its generalizability because of sever differential functioning. Conclusions about the magnitude of geographical inequalities and happiest countries substantially differed between the original index and the Rasch measure. 
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2025-07-31T16:11:56Z
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2025-07-31T16:11:56Z
dc.date.issued.none.fl_str_mv 2017-08-03
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dc.relation.references.eng.fl_str_mv Oxa, A., Arancibia, C., & Campero, S. (2014). Economía de la Felicidad: evidencia empírica para Latinoamérica. Revista Perspectivas, (34), 159-180. Bond, T. G., & Fox, C. M. (2001). Applying the Rasch Model: Fundamental Measurement in the Human Sciences. Erlbaum. Crane, P. K., Gibbons, L. E., Jolley, L., & van Belle, G. (2006). Differential item functioning analysis with ordinal logistic regression techniques. DIFdetect and difwithpar. Medical Care, 44(11 Suppl 3), S115-S123. Cummins, R. (2016). Happiness is the Right Metric to Measure Good Societal Functioning. Society, 53(3), 273-277. Darma, M. (2013). On the economics of happiness: the influence of income and non-income factors on happiness. South African Journal of Economic and Management Sciences, (1), 39. Engelhard, G. (2013). Invariant measurement: using Rasch models in the social, behavioral, and health sciences. New York: Routledge. Environmental Systems Research Institute. (n. d.). ESRI Web page. Retrieved from: http://www.esri.com/ Gallup. (n. d.). Gallup World Poll Website. Retrieved from: http://www.gallup.com/services/170945/world-poll.aspx Gandelman, N., & Porzecanski, R. (2013). Happiness Inequality: How Much Is Reasonable? Social Indicators Research, 110(1), 257-269. Global Footprint Network. (n. d.). Global Footprint Network Website. Retrieved from: http://www.footprintnetwork.org/es/ Houweling, T. A., Kunst, A. E., Huisman, M., & Mackenbach, J. P. (2007). Using relative and absolute measures for monitoring health inequalities: experiences from cross-national analyses on maternal and child health. International Journal for Equity in Health, 6, 15. Johns, H., & Ormerod, P. (2007). Happiness, economics and public policy. London: Institute of Economic Affairs. Retrieved from: http://www.iea.org.uk/sites/default/files/publications/files/upldbook416pdf.pdf Kalmijn, W. M., & Arends, L. R. (2010). Measures of Inequality: Application to Happiness in Nations. Social Indicators Research, 99(1), 147-162. Kalmijn, W., & Veenhoven, R. (2005). Measuring Inequality of Happiness in Nations: In Search for Proper Statistics. Journal of Happiness Studies, 6(4), 357-396. Kalmijn, W., & Veenhoven, R. (2014). Index of Inequality-Adjusted Happiness (IAH) Improved: A Research Note. Journal of Happiness Studies, 15(6), 1259-1265. King, N. B., Harper, S., & Young, M. E. (2012). Use of relative and absolute effect measures in reporting health inequalities: structured review. BMJ (Clinical research ed.), 345, e5774. Larsen, K., & Merlo, J. (2005). Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. American Journal of Epidemiology, 161(1), 81-88. Merlo, J., Chaix, B., Yang, M., Lynch, J., & Rastam, L. (2005). A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon. Journal of Epidemiology and Community Health, 59(6), 443-449. Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50(9), 741-749. Stewart, F. (2014). Against Happiness: A Critical Appraisal of the Use of Measures of Happiness for Evaluating Progress in Development. Journal of Human Development & Capabilities, 15(4), 293-307. The New Economics Foundation. (n. d.-a). Happy Planet Index. Retrieved from: http://www.happyplanetindex.org/data/ The New Economics Foundation. (n. d.-b). The happy planet index: 2012 report. Retrieved from: http://www.happyplanetindex.org/assets/happy-planet-index-report.pdf The Sustainable Development Solutions Network. (2016). World Happiness Report, 2016 volume I. Retrieved from: https://templatearchive.com/world-happiness-report/ UNDP (Ed.). (2011). Sustainability and equity: a better future for all. Houndmills: Palgrave Macmillan. Retrieved from: http://hdr.undp.org/sites/default/files/reports/271/hdr_2011_en_complete.pdf Wilson, M. (2005). Constructing Measures: An Item Response Modeling Approach. Routledge. Wolfe, E. W., & Smith, E. V., Jr. (2007). Instrument development tools and activities for measure validation using Rasch models: part II--validation activities. Journal of Applied Measurement, 8(2), 204-234.
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spelling Rojas-Gualdrón, Diego Fernando2017-08-03T00:00:00Z2025-07-31T16:11:56Z2017-08-03T00:00:00Z2025-07-31T16:11:56Z2017-08-03Happiness has been proposed as an alternative goal in welfare analyses. Several indices have been proposed for its measurement but studies about their metric properties and validity are insufficient. In this paper, the Happy Planet Index is analyzed in terms of its consequential validity as a global health inequality indicator from the invariant measurement perspective of the Rasch model. Model fit is analyzed with emphasis on differential item functioning when comparing between world regions, and its consequential validity by comparing conclusions about the magnitude and inequalities in countries’ happiness. Main findings show enough evidences for structural and construct validity, but not for the supposed underlying score distribution; not either for its generalizability because of sever differential functioning. Conclusions about the magnitude of geographical inequalities and happiest countries substantially differed between the original index and the Rasch measure. application/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfimage/tiff10.21500/20112084.29952011-79222011-2084https://hdl.handle.net/10819/25796https://doi.org/10.21500/20112084.2995engUniversidad San Buenaventura - USB (Colombia)https://revistas.usb.edu.co/index.php/IJPR/article/download/2995/2677https://revistas.usb.edu.co/index.php/IJPR/article/download/2995/3096https://revistas.usb.edu.co/index.php/IJPR/article/download/2995/3097https://revistas.usb.edu.co/index.php/IJPR/article/download/2995/3098https://revistas.usb.edu.co/index.php/IJPR/article/download/2995/3099https://revistas.usb.edu.co/index.php/IJPR/article/download/2995/3100https://revistas.usb.edu.co/index.php/IJPR/article/download/2995/31013322510International Journal of Psychological ResearchOxa, A., Arancibia, C., & Campero, S. (2014). Economía de la Felicidad: evidencia empírica para Latinoamérica. Revista Perspectivas, (34), 159-180. Bond, T. G., & Fox, C. M. (2001). Applying the Rasch Model: Fundamental Measurement in the Human Sciences. Erlbaum. Crane, P. K., Gibbons, L. E., Jolley, L., & van Belle, G. (2006). Differential item functioning analysis with ordinal logistic regression techniques. DIFdetect and difwithpar. Medical Care, 44(11 Suppl 3), S115-S123. Cummins, R. (2016). Happiness is the Right Metric to Measure Good Societal Functioning. Society, 53(3), 273-277. Darma, M. (2013). On the economics of happiness: the influence of income and non-income factors on happiness. South African Journal of Economic and Management Sciences, (1), 39. Engelhard, G. (2013). Invariant measurement: using Rasch models in the social, behavioral, and health sciences. New York: Routledge. Environmental Systems Research Institute. (n. d.). ESRI Web page. Retrieved from: http://www.esri.com/ Gallup. (n. d.). Gallup World Poll Website. Retrieved from: http://www.gallup.com/services/170945/world-poll.aspx Gandelman, N., & Porzecanski, R. (2013). Happiness Inequality: How Much Is Reasonable? Social Indicators Research, 110(1), 257-269. Global Footprint Network. (n. d.). Global Footprint Network Website. Retrieved from: http://www.footprintnetwork.org/es/ Houweling, T. A., Kunst, A. E., Huisman, M., & Mackenbach, J. P. (2007). Using relative and absolute measures for monitoring health inequalities: experiences from cross-national analyses on maternal and child health. International Journal for Equity in Health, 6, 15. Johns, H., & Ormerod, P. (2007). Happiness, economics and public policy. London: Institute of Economic Affairs. Retrieved from: http://www.iea.org.uk/sites/default/files/publications/files/upldbook416pdf.pdf Kalmijn, W. M., & Arends, L. R. (2010). Measures of Inequality: Application to Happiness in Nations. Social Indicators Research, 99(1), 147-162. Kalmijn, W., & Veenhoven, R. (2005). Measuring Inequality of Happiness in Nations: In Search for Proper Statistics. Journal of Happiness Studies, 6(4), 357-396. Kalmijn, W., & Veenhoven, R. (2014). Index of Inequality-Adjusted Happiness (IAH) Improved: A Research Note. Journal of Happiness Studies, 15(6), 1259-1265. King, N. B., Harper, S., & Young, M. E. (2012). Use of relative and absolute effect measures in reporting health inequalities: structured review. BMJ (Clinical research ed.), 345, e5774. Larsen, K., & Merlo, J. (2005). Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. American Journal of Epidemiology, 161(1), 81-88. Merlo, J., Chaix, B., Yang, M., Lynch, J., & Rastam, L. (2005). A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon. Journal of Epidemiology and Community Health, 59(6), 443-449. Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50(9), 741-749. Stewart, F. (2014). Against Happiness: A Critical Appraisal of the Use of Measures of Happiness for Evaluating Progress in Development. Journal of Human Development & Capabilities, 15(4), 293-307. The New Economics Foundation. (n. d.-a). Happy Planet Index. Retrieved from: http://www.happyplanetindex.org/data/ The New Economics Foundation. (n. d.-b). The happy planet index: 2012 report. Retrieved from: http://www.happyplanetindex.org/assets/happy-planet-index-report.pdf The Sustainable Development Solutions Network. (2016). World Happiness Report, 2016 volume I. Retrieved from: https://templatearchive.com/world-happiness-report/ UNDP (Ed.). (2011). Sustainability and equity: a better future for all. Houndmills: Palgrave Macmillan. Retrieved from: http://hdr.undp.org/sites/default/files/reports/271/hdr_2011_en_complete.pdf Wilson, M. (2005). Constructing Measures: An Item Response Modeling Approach. Routledge. Wolfe, E. W., & Smith, E. V., Jr. (2007). Instrument development tools and activities for measure validation using Rasch models: part II--validation activities. Journal of Applied Measurement, 8(2), 204-234.International Journal of Psychological Research - 2017info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/https://revistas.usb.edu.co/index.php/IJPR/article/view/2995EconomicsGlobal healthHappinessHealth InequalitiesValidation studiesInter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysisInter-regional metric disadvantages when comparing countries’ happiness on a global scale. A Rasch based consequential validity analysisArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml5505https://bibliotecadigital.usb.edu.co/bitstreams/3ef4cba2-cc11-4dd0-8b91-b2209ea4abe5/download941c9afb43b324a50cc7b7044f91f3fdMD5110819/25796oai:bibliotecadigital.usb.edu.co:10819/257962025-07-31 11:11:56.184https://creativecommons.org/licenses/by-nc-sa/4.0/https://bibliotecadigital.usb.edu.coRepositorio Institucional Universidad de San Buenaventura Colombiabdigital@metabiblioteca.com

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