Abstract

http://ssrn.com/abstract=1534335
 
 

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Dynamic Patterns of Human Rights Practices


Keith E. Schnakenberg


Washington University in Saint Louis, Department of Political Science

Christopher J. Fariss


Pennsylvania State University

2014

Political Science Research and Methods, 2(1):1-31.

Abstract:     
A science of human rights requires valid comparisons of repression levels across time and space. Though extensive data collection efforts have made such comparisons possible in principle, statistical measures based on simple additive scales have made them rare in practice. This article uses a dynamic measurement model that contrasts with current approaches by (1) accounting for the fact that human rights indicators can be more or less informative about the latent level of repression, (2) allowing realistic descriptions of measurement uncertainty in the form of credible intervals, and (3) providing a theoretical motivation for modeling temporal dependence in human rights levels. We present several techniques, which demonstrate that the dynamic ordinal IRT model outperforms the static version of the model.

Number of Pages in PDF File: 47

Keywords: human rights, data, IRT, dynamic measurement model, Bayesian statistics

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Date posted: January 12, 2010 ; Last revised: February 26, 2014

Suggested Citation

Schnakenberg, Keith E. and Fariss, Christopher J., Dynamic Patterns of Human Rights Practices (2014). Political Science Research and Methods, 2(1):1-31.. Available at SSRN: http://ssrn.com/abstract=1534335 or http://dx.doi.org/10.2139/ssrn.1534335

Contact Information

Keith E. Schnakenberg (Contact Author)
Washington University in Saint Louis, Department of Political Science ( email )
Campus Box 1133
One Brookings Drive
Saint Louis, MO 63130-4899
United States
Christopher J. Fariss
Pennsylvania State University ( email )
University Park
State College, PA 16802
United States
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