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
Beverly Musick
Year
Type
Courseware
Section
OER courseware
Copyright license
Creative Commons: Attribution Share Alike 3.0
Publisher/Source
Global Health Informatics Partnership (GHIP)