Missing Data: A Gentle Introduction

Methodology in the Social Sciences

by Patrick E. McKnight, Katherine M. McKnight, Souraya Sidani

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.

251 pages, Paperback

First published April 2, 2007

Reviews

[Emil O. W. Kirkegaard · Rating 4 out of 5]

Useful introduction to missing data. Generally non-technical coverage. Is light on actual real world examples of bias caused by inept handling of missing data.