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How Multiple Imputation Makes a Difference*

* This paper is a replication of an original study

Author

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  • Lall, Ranjit
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.

Suggested Citation

  • Lall, Ranjit, 2016. "How Multiple Imputation Makes a Difference," Political Analysis, Cambridge University Press, vol. 24(4), pages 414-433.
    • Handle: RePEc:cup:polals:v:24:y:2016:i:04:p:414-433_01
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    Cited by:

    1. Bernhard Reinsberg & Oliver Westerwinter, 2023. "Institutional Overlap in Global Governance and the Design of Intergovernmental Organizations," The Review of International Organizations, Springer, vol. 18(4), pages 693-724, October.
    2. Tobias Heinrich & Yoshiharu Kobayashi, 2022. "Evaluating explanations for poverty selectivity in foreign aid," Kyklos, Wiley Blackwell, vol. 75(1), pages 30-47, February.
    3. Julia C. Morse & Bridget Coggins, 2024. "Your silence speaks volumes: Weak states and strategic absence in the UN General Assembly," The Review of International Organizations, Springer, vol. 19(3), pages 515-544, September.
    4. Jennings, Will & Lewis-Beck, Michael & Wlezien, Christopher, 2020. "Election forecasting: Too far out?," International Journal of Forecasting, Elsevier, vol. 36(3), pages 949-962.
    5. Brown, Annette N. & Wood, Benjamin Douglas Kuflick, 2018. "Which tests not witch hunts: A diagnostic approach for conducting replication research," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-26.
    6. Lauren L. Ferry & Alexandra O. Zeitz, 2024. "The power of having powerful friends: Evidence from a new dataset of IMF negotiating missions, 1985-2020," The Review of International Organizations, Springer, vol. 19(3), pages 411-442, September.
    7. Minakshi Nayak & Karen Wills & Megan Teychenne & Jo Salmon & Verity Cleland, 2021. "Patterns and Predictors of Sitting among Women from Disad-Vantaged Neighbourhoods over Time: A 5-Year Prospective Cohort Study," IJERPH, MDPI, vol. 18(9), pages 1-13, April.
    8. Albert Chiu & Xingchen Lan & Ziyi Liu & Yiqing Xu, 2023. "Causal Panel Analysis under Parallel Trends: Lessons from A Large Reanalysis Study," Papers 2309.15983, arXiv.org, revised Nov 2024.
    9. Vadim Ustyuzhanin, 2024. "Wealth and Rebellion: A Dualistic Perspective on Income Level and Revolutions," HSE Working papers WP BRP 92/PS/2024, National Research University Higher School of Economics.
    10. Iemmi, Valentina, 2021. "Global collective action in mental health financing: Allocation of development assistance for mental health in 142 countries, 2000–2015," Social Science & Medicine, Elsevier, vol. 287(C).
    11. Silvia Marchesi & Tania Masi, 2021. "Delegation of implementation in project aid," The Review of International Organizations, Springer, vol. 16(3), pages 655-687, July.
    12. Kris‐Stella Trump, 2023. "Income inequality is unrelated to perceived inequality and support for redistribution," Social Science Quarterly, Southwestern Social Science Association, vol. 104(2), pages 180-188, March.
    13. Gómez-Fernández, Nerea & Mediavilla, Mauro, 2021. "Exploring the relationship between Information and Communication Technologies (ICT) and academic performance: A multilevel analysis for Spain," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    14. Freire, Danilo & Uzonyi, Gary, 2018. "What Drives State-Sponsored Violence?: Evidence from Extreme Bounds Analysis and Ensemble Learning Models," SocArXiv pzx3q, Center for Open Science.
    15. Freese, Jeremy & Peterson, David, 2017. "Replication in Social Science," SocArXiv 5bck9, Center for Open Science.
    16. Håvard Hegre & Kristina Petrova & Nina von Uexkull, 2020. "Synergies and Trade-Offs in Reaching the Sustainable Development Goals," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    17. Zhong, Hua & Hu, Wuyang & Penn, Jerrod M., 2018. "Application of Multiple Imputation in Dealing with Missing Data in Agricultural Surveys: The Case of BMP Adoption," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.

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