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

Measurement confounding due to socioeconomic differences between world regions may bias the estimations of countries’ happiness and global inequality. Potential implications of this bias have not been researched. In this study, the consequential validity of the Happy Planet Index, 2012 as an indicat...

Full description

Autores:
Rojas Gualdrón, Diego Fernando
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad de San Buenaventura
Repositorio:
Repositorio USB
Idioma:
spa
OAI Identifier:
oai:bibliotecadigital.usb.edu.co:10819/6700
Acceso en línea:
http://hdl.handle.net/10819/6700
Palabra clave:
Desigualdades en la salud
Salud global
Estudios de validacion
Global health
Health inequalities
Happiness
Economía
Felicidad
Validation studies
Rights
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia
Description
Summary:Measurement confounding due to socioeconomic differences between world regions may bias the estimations of countries’ happiness and global inequality. Potential implications of this bias have not been researched. In this study, the consequential validity of the Happy Planet Index, 2012 as an indicator of global inequality is evaluated from the Rasch measurement perspective. Differential Item Functioning by world region and bias in the estimated magnitude of inequalities were analyzed. The recalculated measure showed a good fit to Rasch model assumptions. The original index underestimated relative inequalities between world regions by 20%. DIF had no effect on relative measures but affected absolute measures by overestimating world average happiness and underestimating its variance. These findings suggest measurement confounding by unmeasured characteristics. Metric disadvantages must be adjusted to make fair comparisons. Public policy decisions based on biased estimations could have relevant negative consequences on people’s health and well-being by not focusing efforts on real vulnerable populations.