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Data Quality: Missing Data

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Uploaded on Oct 8, 2010

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.

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