Term:
2011
Published:
November 21, 2011
Revised:
June 9, 2015
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.
Project: Global Health Informatics Partnership
Author: Beverly Musick
Learning Objectives
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.
Term:
2011
Published:
November 21, 2011
Revised:
June 9, 2015
Jump to:
| Document Title | Creator | Downloads | License |
|---|---|---|---|
|
01: Missing Data - Learning Objectives and Detailed Specifications |
Beverly Musick
|
  |
|
|
03: Missing Data - Slides with Audio |
Beverly Musick
|
|
|
|
04: Missing Data - Slides with Audio for Mobile Phones |
Beverly Musick
|
|
|
|
05: Missing Data - Audio Only |
Beverly Musick
|
|