bookMar 27, 2007Closed access

Missing Data: A Gentle Introduction

George Mason University · University of Toronto · +1 more institution

Abstract

Part 1. A Gentle Introduction to Missing Data. Concept of Missing Data. Prevalence of Missing Data. Why Data Might Be Missing. Impact of Missing Data. What's Missing in the Missing Data Literature? A Cost-Benefit Approach to Missing Data. Missing Data - Not Just for Statisticians Anymore. Part 2. Consequences of Missing Data. Three General Consequences of Missing Data. Consequences of Missing Data on Construct Validity. Consequences of Missing Data on Internal Validity. Consequences on Causal Generalization. Summary. Part 3. Classifying Missing Data. The Silence That Betokens. Current Classification System: Mechanisms of Missing Data. Expanding the Classification System. Summary. Part 4. Preventing Missing…

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759
total citations
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39.70
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100%
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Citations per year

Authors

4

Topics & keywords

Keywords
  • Missing data
  • Imputation (statistics)
  • Data mining
  • Computer science
  • Data collection
  • Data quality
  • Statistics
  • Mathematics
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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