Practical Imputation of Missing Data

Missing data are among the most persistent challenges encountered in survey and market research, and can negatively impact the research conducted. On the one hand, records with missing data items are often omitted from analyses – a compromise that decreases the effective sample size and exposes the results to bias. On the other, for reports and presentations, missing data have to be declared as such – another compromise that undermines the credibility of research. However, in spite of these implications many researchers often shy away from imputation due to concerns for resource limitations.

Relying on years of experience developing and implementing imputation procedures, Dr. Mansour Fahimi conducted a short-course at the AAPOR 2011 on the practical imputation of missing data. This course provided a comprehensive review of various imputation procedures, while focusing on portable methods that do not require considerable recourses. You can obtain a complimentary copy of the course slides from the Genesys Reference Center.

For support with project specific imputation needs, as well as consultations on sampling designs and weighting tasks, please contact Dr. Fahimi.

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