bookApr 23, 2010Closed access

Applied Missing Data Analysis

Arizona State University

Abstract

Part 1. An Introduction to Missing Data. 1.1 Introduction. 1.2 Chapter Overview. 1.3 Missing Data Patterns. 1.4 A Conceptual Overview of Missing Data heory. 1.5 A More Formal Description of Missing Data Theory. 1.6 Why Is the Missing Data Mechanism Important? 1.7 How Plausible Is the Missing at Random Mechanism? 1.8 An Inclusive Analysis Strategy. 1.9 Testing the Missing Completely at Random Mechanism. 1.10 Planned Missing Data Designs. 1.11 The Three-Form Design. 1.12 Planned Missing Data for Longitudinal Designs. 1.13 Conducting Power Analyses for Planned Missing Data Designs. 1.14 Data Analysis Example. 1.15 Summary. 1.16 Recommended Readings. Part 2. Traditional Methods for Dealing with Missing Data. 2.1…

Citation impact

6,890
total citations
FWCI
78.51
Percentile
100%
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0
Citations per year

Authors

1

Topics & keywords

Keywords
  • Missing data
  • Imputation (statistics)
  • Univariate
  • Statistics
  • Multivariate statistics
  • Computer science
  • Data mining
  • Mathematics
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