Earlier versions of this article were presented at the November 2010 meeting of the University of North Carolina Political Methods Group and the 2011 annual meetings of the Midwest Political Science Association. The late George Rabinowitz provided a great deal of assistance during the early stages of this project; we are very grateful for his encouragement and suggestions. We also thank Ryan Bakker and Saundra K. Schneider for their many helpful comments on various drafts of the manuscript. All replication materials, including data files, SAS commands, R scripts, and the R package mentioned in the text are available either directly from the authors or online at http://dvn.iq.harvard.edu/dvn/dv/ajps.
Bootstrap Confidence Regions for Multidimensional Scaling Solutions
Article first published online: 18 OCT 2013
©2013, Midwest Political Science Association
American Journal of Political Science
Volume 58, Issue 1, pages 264–278, January 2014
How to Cite
Jacoby, W. G. and Armstrong, D. A. (2014), Bootstrap Confidence Regions for Multidimensional Scaling Solutions. American Journal of Political Science, 58: 264–278. doi: 10.1111/ajps.12056
- Issue published online: 2 JAN 2014
- Article first published online: 18 OCT 2013
Disclaimer: Supplementary materials have been peer-reviewed but not copyedited.
I: Assessing Multivariate Normality in Bootstrap Replications of the MDS Point Coordinates.
Figure S1: quantile plots for testing multivariate normality of bootstrap replications from multidimensional scaling analysis of 2004 public perceptions of political candidates.
II: A Multilevel Model Showing the Effects of Uncertainty on Individual Candidate Evaluations.
Figure S1: The effect of ideological distance on candidate evaluation, conditional on the horizontal width of a candidate's confidence ellipse.
Table S1: Model showing individual candidate evaluations as a function of copartisanship, ideological distance, and clarity in the candidate's ideological position.
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