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How Multiple Imputation Makes a Difference
Published online by Cambridge University Press: 04 January 2017
Abstract
Political scientists increasingly recognize that multiple imputation represents a superior strategy for analyzing missing data to the widely used method of listwise deletion. However, there has been little systematic investigation of how multiple imputation affects existing empirical knowledge in the discipline. This article presents the first large-scale examination of the empirical effects of substituting multiple imputation for listwise deletion in political science. The examination focuses on research in the major subfield of comparative and international political economy (CIPE) as an illustrative example. Specifically, I use multiple imputation to reanalyze the results of almost every quantitative CIPE study published during a recent five-year period in International Organization and World Politics, two of the leading subfield journals in CIPE. The outcome is striking: in almost half of the studies, key results “disappear” (by conventional statistical standards) when reanalyzed.
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- Copyright © The Author 2016. Published by Oxford University Press on behalf of the Society for Political Methodology
Footnotes
Author's note: I am grateful to Anthony Atkinson, Jeffry Frieden, Adam Glynn, James Honaker, Gary King, Walter Mattli, Margaret Roberts, Beth Simmons, Arthur Spirling, and the editors and anonymous reviewers of Political Analysis for helpful comments and suggestions. I also thank Olivier Accominotti, Todd Allee, Ben Ansell, Lucio Baccaro, Carles Boix, Sarah Brooks, Asif Efrat, Sean Ehrlich, Lawrence Ezrow, Marc Flandreau, Alexandra Guisinger, Caroline Hartzell, Philip Keefer, Jeffrey Kucik, Marcus Kurtz, Christopher Meissner, Sonal Pandya, Clint Peinhardt, Krzysztof Pelc, Kristopher Ramsay, Diego Rei, David Rueda, David Singer, and Hugh Ward for generously sharing data with me. For replication materials, see Lall (2016). Supplementary materials for this article are available on the Political Analysis Web site.
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