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This module describes how missing data can be managed while maintaining data quality. It explains how to plan for missing data; defines different types of “missingness;” outlines the benefits of documenting missing data and illustrates how to document missing data; and describes procedures to minimize missing data. Upon completion of this module, students will be able to explain why data managers should strive to minimize missing data and develop a plan to record or code why data are missing.
Creators:
Dr John E. Sidle
Year:
2010
License Condition: Creative Commons: Attribution 3.0 |
Type:
Other
Section:
OER courseware
Publisher/Source:
Regional East African Centre for Health Informatics