Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation

@article{King2001AnalyzingIP,
  title={Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation},
  author={G. King and James Honaker and Anne Joseph O'Connell and Kenneth F. Scheve},
  journal={American Political Science Review},
  year={2001},
  volume={95},
  pages={49 - 69}
}
We propose a remedy for the discrepancy between the way political scientists analyze data with missing values and the recommendations of the statistics community. Methodologists and statisticians agree that “multiple imputation” is a superior approach to the problem of missing data scattered through one’s explanatory and dependent variables than the methods currently used in applied data analysis. The discrepancy occurs because the computational algorithms used to apply the best multiple… Expand
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