On the Joys of Missing Data
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Abstract
We provide conceptual introductions to missingness mechanisms--missing completely at random, missing at random, and missing not at random--and state-of-the-art methods of handling missing data--full-information maximum likelihood and multiple imputation--followed by a discussion of planned missing designs: Multiform questionnaire protocols, 2-method measurement models, and wave-missing longitudinal designs. We reviewed 80 articles of empirical studies published in the 2012 issues of the Journal of Pediatric Psychology to present a picture of how adequately missing data are currently handled in this field. To illustrate the benefits of using multiple imputation or full-information maximum likelihood and…
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Authors
4Topics & keywords
Topics
Keywords
- Missing data
- Imputation (statistics)
- Computer science
- Statistics
- Data mining
- Econometrics
- Data science
- Mathematics
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