Description |
1 online resource (vi, 91 pages) : illustrations |
Series |
Quantitative applications in the social sciences ; 136 |
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Quantitative applications in the social sciences ; 136
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Contents |
1. Introduction -- 2. Assumptions ; Missing Completely at Random ; Missing at Random ; Ignorable ; Nonignorable -- 3. Conventional Methods ; Listwise ; Deletion; Pairwise Deletion ; Dummy Variable Adjustment ; Imputation -- 4. Maximum Likelihood ; Review of Maximum Likelihood ; ML With Missing Data ; Contingency Table Data ; Linear Models With Normally Distributed Data ; The EM Algorithm ; EM Example ; Direct ML ; Direct ML Example -- 5. Multiple Imputation: Bascis ; Single Random Imputation ; Multiple Random Imputation ; Allowing for Random Variation in the Parameter Estimates ; Multiple Imputation Under the Multivariate Normal Model ; Data Augmentation for the Multivariate Normal Model ; Convergence in Data Augmentation ; Sequential Verses Parallel Chains of Data Augmentation ; Using the Normal Model for Nonnormal or Categorical Data ; Exploratory Analysis -- 6. Multiple Imputation: Complications ; Interactions and Nonlinearities in MI ; Compatibility of the Imputation Model and the Analysis Model ; Role of the Dependent Variable in Imputation ; Using Additional Variables in the Imputation Process ; Other Parametric Approaches to Multiple Imputation ; Nonparametric and Partially Parametric Methods ; Sequential Generalized Regression Models ; Linear Hypothesis Tests and Likelihood Ratio Tests -- 7. Nonignorable Missing Data ; Two Classes of Models ; Heckman's Model for Sample Selection Bias ; ML Estimation With Pattern-Mixture Models ; Multiple Imputation With Pattern-Mixture Models |
Summary |
Using numerous examples and practical tips, this book offers a non-technical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer methods, maximum likelihood and multiple imputation |
Bibliography |
Includes bibliographical references |
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Includes bibliographical references and index |
Notes |
Print version record |
Subject |
Missing observations (Statistics)
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Form |
Electronic book
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ISBN |
9781412985079 (ebook) |
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1412985072 (ebook) |
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9780761916727 |
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9781452207902 |
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1452207909 |
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