Missing Data

A Gentle Introduction

Nonfiction, Social & Cultural Studies, Social Science, Methodology, Health & Well Being, Psychology, Research, Medical, Reference, Public Health
Cover of the book Missing Data by Patrick E. McKnight, PhD, Katherine M. McKnight, PhD, Souraya Sidani, PhD, Aurelio José Figueredo, PhD, Guilford Publications
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Author: Patrick E. McKnight, PhD, Katherine M. McKnight, PhD, Souraya Sidani, PhD, Aurelio José Figueredo, PhD ISBN: 9781606238202
Publisher: Guilford Publications Publication: March 28, 2007
Imprint: The Guilford Press Language: English
Author: Patrick E. McKnight, PhD, Katherine M. McKnight, PhD, Souraya Sidani, PhD, Aurelio José Figueredo, PhD
ISBN: 9781606238202
Publisher: Guilford Publications
Publication: March 28, 2007
Imprint: The Guilford Press
Language: English

While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.

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While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.

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