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Political Analysis 2005 13(1):109-111; doi:10.1093/pan/mpi006
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Political Analysis, Vol. 13 No. 1, © Society for Political Methodology 2005; all rights reserved.

Analyzing the 2000 National Election Study

Jake Bowers

Center for Political Studies 4253 ISR, University of Michigan, Ann Arbor, Michigan 48106-1248
e-mail: jwbowers{at}umich.edu

Nancy Burns

Center for Political Studies 4246 ISR, University of Michigan, Ann Arbor, Michigan 48106-1248
e-mail: nburns{at}umich.edu (corresponding author)

Michael J. Ensley

Department of Political Science, 210 Woodburn Hall, Indiana University, Bloomington, IN 47405
e-mail: ensley{at}indiana.edu

Donald R. Kinder

Center for Political Studies 4258 ISR, University of Michigan, Ann Arbor, Michigan 48106-1248
e-mail: drkinder{at}umich.edu

In an earlier report, two of us (Bowers and Ensley, 2003, National Election Studies Technical Report, www.umich.edu/~nes) provided a general framework for understanding the particular strategy outlined by Fogarty et al. (in this issue). Fogarty et al.'s strategy is to make the face-to-face variables more like the random digit dial (RDD) telephone variables by trimming the ends in order to reduce the variance of the face-to-face (FTF) variables. Perhaps some scholars will want the FTF variables to look like the RDD variables, but that would be a fix for a specific research question. Given the significant differences in the representativeness of the samples, the processes of survey nonresponse, and the quality and character of the responses between data taken from a National Area Probability sample in person and data taken from an RDD telephone sample, research questions involving comparisons with other years in the 50-year time series will require different remedies.


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