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Missing Data

Overview of attention for book
Cover of 'Missing Data'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Missing Data Theory
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    Chapter 2 Analysis of Missing Data
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    Chapter 3 Multiple Imputation with Norm 2.03
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    Chapter 4 Analysis with SPSS (Versions Without MI Module) Following Multiple Imputation with Norm 2.03
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    Chapter 5 Multiple Imputation and Analysis with SPSS 17-20
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    Chapter 6 Multiple Imputation and Analysis with Multilevel (Cluster) Data
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    Chapter 7 Multiple Imputation and Analysis with SAS
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    Chapter 8 Practical Issues Relating to Analysis with Missing Data: Avoiding and Troubleshooting Problems
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    Chapter 9 Dealing with the Problem of Having Too Many Variables in the Imputation Model
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    Chapter 10 Simulations with Missing Data
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    Chapter 11 Using Modern Missing Data Methods with Auxiliary Variables to Mitigate the Effects of Attrition on Statistical Power
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    Chapter 12 Planned Missing Data Designs I: The 3-Form Design
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    Chapter 13 Planned Missing Data Design 2: Two-Method Measurement
Attention for Chapter 9: Dealing with the Problem of Having Too Many Variables in the Imputation Model
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Citations

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Readers on

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Summary Dimensions citations
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Chapter title
Dealing with the Problem of Having Too Many Variables in the Imputation Model
Chapter number 9
Book title
Missing Data
Published by
Springer, New York, NY, February 2016
DOI 10.1007/978-1-4614-4018-5_9
Book ISBNs
978-1-4614-4017-8, 978-1-4614-4018-5
Authors

John W. Graham, M. Lee Van Horn, Bonnie J. Taylor, Graham, John W., Van Horn, M. Lee, Taylor, Bonnie J.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Researcher 2 22%
Student > Master 2 22%
Student > Doctoral Student 1 11%
Lecturer 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Arts and Humanities 2 22%
Social Sciences 2 22%
Psychology 2 22%
Computer Science 1 11%
Unknown 2 22%

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