Harris, MN;
Knott, RJ;
Lorgelly, PK;
Rice, N;
(2020)
Using externally collected vignettes to account for reporting heterogeneity in survey self-assessment.
Economics Letters
, 194
, Article 109325. 10.1016/j.econlet.2020.109325.
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Abstract
The anchoring vignette approach has grown in popularity as a method to adjust for reporting heterogeneity in self-reported survey questions, removing bias due to systematic variation in reporting styles across study respondents. The use of anchoring vignettes, however, has been limited to surveys where both self-reports and vignette questions have been included. This diminishes their wider application. We illustrate, using an application to self-reported health in a large household survey, how externally collected vignettes can be used to adjust for reporting heterogeneity in datasets that have not included anchoring vignettes. Given that self-reported measures are an important facet of social, health and economic research, we anticipate the approach described will lead to new applications of the anchoring vignette methodology.
| Type: | Article |
|---|---|
| Title: | Using externally collected vignettes to account for reporting heterogeneity in survey self-assessment |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.econlet.2020.109325 |
| Publisher version: | https://doi.org/10.1016/j.econlet.2020.109325 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Anchoring vignettes, Reporting heterogeneity, Differential item functioning, Self-reported measures, Survey measures |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Applied Health Research |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10105795 |
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