Earlier versions of this article were presented at the Robert Wood Johnson Health Policy Scholars annual meeting, the Society for Political Methodology Summer Conference, the annual meeting of the American Political Science Association, and seminars at the University of Michigan and Stanford University. This work has benefited from the comments of the participants at these presentations. Thanks to Martha Bailey, Elizabeth Bruch, Vincent Hutchings, Gary King, Skip Lupia, Walter Mebane, Gerardo Munck, Maisy Samuelson, Jas Sekhon, and Chris Zorn for helpful comments and conversations. Two anonymous reviewers also made helpful comments that improved the presentation of this work. Thanks to the Robert Wood Johnson Foundation and Stanford’s Institute for Research in the Social Sciences (IRiSS) for research support and to the Center for Political Studies and the Department of Health Management and Policy at the University of Michigan for their hospitality while this work was initially written. The data analysis uses the open-source R library anchors (Wand, King, and Lau 2011), which is available at the Comprehensive R Archive Network. The anchors library also contains the data and replication code for this study. I am solely responsible for any errors or omissions.
Credible Comparisons Using Interpersonally Incomparable Data: Nonparametric Scales with Anchoring Vignettes
Version of Record online: 25 JUN 2012
©2012, Midwest Political Science Association
American Journal of Political Science
Volume 57, Issue 1, pages 249–262, January 2013
How to Cite
Wand, J. (2013), Credible Comparisons Using Interpersonally Incomparable Data: Nonparametric Scales with Anchoring Vignettes. American Journal of Political Science, 57: 249–262. doi: 10.1111/j.1540-5907.2012.00597.x
Examples of anchoring vignettes can be found in studies of personal health (King et al. 2004; Salomon and Murray 2004), studies of job disabilities (Kapteyn, Smith, and Soest 2007), studies of corruption and state effectiveness (Grzymala-Busse 2007), and many other topics. See also the recent symposium on anchoring vignettes in the JRSS-A (Chevalier and Fielding 2011; Van Soest et al. 2011).
- Issue online: 2 JAN 2013
- Version of Record online: 25 JUN 2012
Table 1: Monte Carlo parameters.
Table 2: Percentage of all comparisons that are misordered: 95th percentile intervals from 500 simulations, each with 1000 observations. Lower numbers are better, with zero indicating no errors.
|AJPS_597_sm_suppmat.pdf||143K||Supporting info item|
Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.