Statistics for Social and Behavioral Sciences

Missing Data

Analysis and Design

Authors: Graham, John W.

  • Enables non-statisticians to implement modern missing data procedures properly in their research
  • Contains easy-to-read information for readers of all levels
  • Utilizes an accompanying website
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eBook $109.00
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  • ISBN 978-1-4614-4018-5
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  • Immediate eBook download after purchase
Hardcover $149.00
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  • ISBN 978-1-4614-4017-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
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  • ISBN 978-1-4899-9573-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
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About this book

Missing data have long plagued those conducting applied research in the social, behavioral, and health sciences.  Good missing data analysis solutions are available, but practical information about implementation of these solutions has been lacking.  The objective of Missing Data: Analysis and Design is to enable investigators who are non-statisticians to implement modern missing data procedures properly in their research, and reap the benefits in terms of improved accuracy and statistical power.

 

Missing Data: Analysis and Design contains essential information for both beginners and advanced readers.  For researchers with limited missing data analysis experience, this book offers an easy-to-read introduction to the theoretical underpinnings of analysis of missing data; provides clear, step-by-step instructions for performing state-of-the-art multiple imputation analyses; and offers practical advice, based on over 20 years' experience, for avoiding and troubleshooting problems.  For more advanced readers, unique discussions of attrition, non-Monte-Carlo techniques for simulations involving missing data, evaluation of the benefits of auxiliary variables, and highly cost-effective planned missing data designs are provided.

 

The author lays out missing data theory in a plain English style that is accessible and precise.  Most analysis described in the book are conducted using the well-known statistical software packages SAS and SPSS, supplemented by Norm 2.03 and associated Java-based automation utilities.  A related web site contains free downloads of the supplementary software, as well as sample empirical data sets and a variety of practical exercises described in the book to enhance and reinforce the reader’s learning experience.  Missing Data: Analysis and Design and its web site work together to enable beginners to gain confidence in their ability to conduct missing data analysis, and more advanced readers to expand their skill set. 

About the authors

JOHN W. GRAHAM, PhD, is Professor of Biobehavioral Health at The Pennsylvania State University.  His research and publishing focus on the evaluation of health promotion and disease prevention interventions.  He specializes in evaluation research methods, including missing data analysis and design, structural equation modeling, and measurement.

Table of contents (13 chapters)

  • Missing Data Theory

    Graham, John W.

    Pages 3-46

  • Analysis of Missing Data

    Graham, John W.

    Pages 47-69

  • Multiple Imputation with Norm 2.03

    Graham, John W.

    Pages 73-94

  • Analysis with SPSS (Versions Without MI Module) Following Multiple Imputation with Norm 2.03

    Graham, John W.

    Pages 95-109

  • Multiple Imputation and Analysis with SPSS 17-20

    Graham, John W.

    Pages 111-131

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4614-4018-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-1-4614-4017-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4899-9573-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Missing Data
Book Subtitle
Analysis and Design
Authors
Series Title
Statistics for Social and Behavioral Sciences
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-4018-5
DOI
10.1007/978-1-4614-4018-5
Hardcover ISBN
978-1-4614-4017-8
Softcover ISBN
978-1-4899-9573-5
Series ISSN
2199-7357
Edition Number
1
Number of Pages
XXIV, 324
Topics