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<p>Missing data are like taxes; they are an unpleasant but inevitable part of life especially for the applied researcher. According to authors Patrick E. McKnight, Katherine M. McKnight, Souraya Sidani, and Aurelio Jose Figueredo, missing data produce frustration and uncertainty, and it was this frustration and uncertainty that led them to write Missing Data: A Gentle Introduction . The book is part of the Guilford Press Methodology in the Social Sciences series that includes classics such as A Primer on Regression Artifacts by Donald Campbell and David Kenny, well-received recent texts such as Principles and Practise of Structural Equation Modeling by Rex Kline, and new works on current popular topics in social science statistics such as Multilevel Analysis for Applied Research: It's Just Regression by Robert Bickel. Missing Data: A Gentle Introduction is a worthy addition to this fine series. The authors' goal is to provide a nonstatistical and nonmathematical introduction to the complex topic of missing data. To a large extent, the authors are successful at meeting this goal.</p> <p>As the title suggests, the book provides a gentle introduction to what is known about identifying and handling missing data. Chapter 1 is an introductory chapter that addresses http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Canadian Psychology/Psychologie canadienne PsycARTICLES®

Book Reviews

Abstract

<p>Missing data are like taxes; they are an unpleasant but inevitable part of life especially for the applied researcher. According to authors Patrick E. McKnight, Katherine M. McKnight, Souraya Sidani, and Aurelio Jose Figueredo, missing data produce frustration and uncertainty, and it was this frustration and uncertainty that led them to write Missing Data: A Gentle Introduction . The book is part of the Guilford Press Methodology in the Social Sciences series that includes classics such as A Primer on Regression Artifacts by Donald Campbell and David Kenny, well-received recent texts such as Principles and Practise of Structural Equation Modeling by Rex Kline, and new works on current popular topics in social science statistics such as Multilevel Analysis for Applied Research: It's Just Regression by Robert Bickel. Missing Data: A Gentle Introduction is a worthy addition to this fine series. The authors' goal is to provide a nonstatistical and nonmathematical introduction to the complex topic of missing data. To a large extent, the authors are successful at meeting this goal.</p> <p>As the title suggests, the book provides a gentle introduction to what is known about identifying and handling missing data. Chapter 1 is an introductory chapter that addresses
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