@misc{40761,
  author = {Hongwei Xu and Yu Xie},
  title = {Assessing the Effectiveness of Anchoring Vignettes in Bias Reduction forSocioeconomic Disparities in Self-Rated Health among Chinese Adults},
  abstract = { <p>This study investigates how reporting heterogeneity may bias socioeconomic and demographic disparities in self-rated health, a widely used health indicator, and how such bias can be adjusted by anchoring vignettes among Chinese adults. Drawing data from the 2012 wave of the China Family Panel Studies, we find strong evidence of systematically different cut-points applied by people of varying groups to rate their overall health status. In many cases, such cut-point shifts are not parallel in that the effect of certain group characteristic on the shift is stronger at certain level than another. We find that the resulting bias of measuring group differentials in self-rated health can be too substantial to be ignored. We further demonstrate that anchoring vignettes prove to be an effective survey instrument and statistical tool in obtaining bias-adjusted estimates of health disparities. We also find it sufficient to administer vignettes to only a small subsample (20-30\% of the full sample) in order to adjust reporting heterogeneity in the full sample. Using single vignette can be as effective as using more in terms of anchoring, but the results are sensitive to the choice of vignette design. Our findings suggest that future research using selfrated health should guard against reporting heterogeneity and employ adjustment techniques such as anchoring vignettes whenever appropriate.</p> },
  year = {2014},
  publisher = {Population Studies Center at the University of Michigan},
  language = {eng},
}