Correcting bias in self-rated quality of life: an application of anchoring vignettes and ordinal regression models to better understand QoL differences across commuting modesReportar como inadecuado




Correcting bias in self-rated quality of life: an application of anchoring vignettes and ordinal regression models to better understand QoL differences across commuting modes - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Quality of Life Research

, Volume 25, Issue 2, pp 257–266

First Online: 09 August 2015Accepted: 29 July 2015DOI: 10.1007-s11136-015-1090-8

Cite this article as: Crane, M., Rissel, C., Greaves, S. et al. Qual Life Res 2016 25: 257. doi:10.1007-s11136-015-1090-8

Abstract

PurposeLikert scales are frequently used in public health research, but are subject to scale perception bias. This study sought to explore scale perception bias in quality-of-life QoL self-assessment and assess its relationships with commuting mode in the Sydney Travel and Health Study.

MethodsMultilevel ordinal logistic regression analysis was used to analyse the association between two global QoL items about overall QoL and health satisfaction, with usual travel mode to work or study. Anchoring vignettes were applied using parametric and simpler nonparametric methods to detect and adjust for differences in reporting behaviour across age, sex, education, and income groups.

ResultsThe anchoring vignettes exposed differences in scale responses across demographic groups. After adjusting for these biases, public transport users OR = 0.37, 95 % CI 0.21–0.65, walkers OR = 0.44, 95 % CI 0.24–0.82, and motor vehicle users OR = 0.47, 95 % CI 0.25–0.86 were all found to have lower odds of reporting high QoL compared with bicycle commuters. Similarly, the odds of reporting high health satisfaction were found to be proportionally lower amongst all competing travel modes: motor vehicle users OR = 0.31, 95 % CI 0.18–0.56, public transport users OR = 0.34, 95 % CI 0.20–0.57, and walkers OR = 0.35, 95 % CI 0.20–0.64 when compared with cyclists. Fewer differences were observed in the unadjusted models.

ConclusionApplication of the vignettes by the two approaches removed scaling biases, thereby improving the accuracy of the analyses of the associations between travel mode and quality of life. The adjusted results revealed higher quality of life in bicycle commuters compared with all other travel mode users.

KeywordsQuality of life Differential item functioning Anchoring vignettes Commuting Cycling Ordinal logistic regression  Download fulltext PDF



Autor: Melanie Crane - Chris Rissel - Stephen Greaves - Klaus Gebel

Fuente: https://link.springer.com/



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