Missing data /
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.
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Thousand Oaks, [Calif.] ; London :
SAGE,
[2002]
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| Series: | Quantitative applications in the social sciences ;
136. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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. |
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| Item Description: | "A SAGE university paper." Electronic resource. |
| Physical Description: | 1 online resource (vi, 91 pages) : illustrations. |
| Bibliography: | Includes bibliographical references. Includes bibliographical references and index. |
| ISBN: | 9781412985079 (ebook) : |