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Graham, John W.

Missing Data

Graham, John W. - Missing Data, ebook

129,65€

Ebook, PDF with Adobe DRM
ISBN: 9781461440185
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Table of contents

Section 1. Missing Data Theory

1. Missing Data Theory
John W. Graham

2. Analysis of Missing Data
John W. Graham

Section 2. Multiple Imputation and Basic Analysis

3. Multiple Imputation with Norm 2.03
John W. Graham

4. Analysis with SPSS (Versions Without MI Module) Following Multiple Imputation with Norm 2.03
John W. Graham

5. Multiple Imputation and Analysis with SPSS 17-20
John W. Graham

6. Multiple Imputation and Analysis with Multilevel (Cluster) Data
John W. Graham

7. Multiple Imputation and Analysis with SAS
John W. Graham

Section 3. Practical Issues in Missing Data Analysis

8. Practical Issues Relating to Analysis with Missing Data: Avoiding and Troubleshooting Problems
John W. Graham

9. Dealing with the Problem of Having Too Many Variables in the Imputation Model
John W. Graham, M. Lee Horn, Bonnie J. Taylor

10. Simulations with Missing Data
John W. Graham

11. Using Modern Missing Data Methods with Auxiliary Variables to Mitigate the Effects of Attrition on Statistical Power
John W. Graham, Linda M. Collins

Section 4. Planned Missing Data Design

12. Planned Missing Data Designs I: The 3-Form Design
John W. Graham

13. Planned Missing Data Design 2: Two-Method Measurement
John W. Graham, Allison E. Shevock

Keywords: Statistics, Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law, Statistics, general, Statistics for Life Sciences, Medicine, Health Sciences

Author(s)
Publisher
Springer
Publication year
2012
Language
en
Edition
2012
Series
Statistics for Social and Behavioral Sciences
Page amount
23 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9781461440185

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