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…
Citation impact
- FWCI
- 39.70
- Percentile
- 100%
- References
- 0
Authors
4Topics & keywords
- Missing data
- Imputation (statistics)
- Data mining
- Computer science
- Data collection
- Data quality
- Statistics
- Mathematics
- Peace, Justice and strong institutions