Applied Missing Data Analysis

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Guilford Press, 2010 - Psychology - 377 pages
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Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists.

This book will appeal to researchers and graduate students in psychology, education, management, family studies, public health, sociology, and political science. It will also serve as a supplemental text for doctoral-level courses or seminars in advanced quantitative methods, survey analysis, longitudinal data analysis, and multilevel modeling, and as a primary text for doctoral-level courses or seminars in missing data.

 

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Contents

An Introduction to Missing Data
1
Traditional Methods for Dealing with Missing Data
37
An Introduction to Maximum Likelihood Estimation
56
Maximum Likelihood Missing Data Handling
86
5
127
An Introduction to Bayesian Estimation
164
The Imputation Phase of Multiple Imputation
187
The Analysis and Pooling
217
Practical Issues in Multiple Imputation
254
Models for Missing Not at Random Data
287
11 Wrapping Things
329
References
347
Author Index
359
Subject Index
365
About the Author
377
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About the author (2010)

Craig K. Enders is Associate Professor in the Quantitative Psychology concentration in the Department of Psychology at Arizona State University. The majority of his research focuses on analytic issues related to missing data analyses. He also does research in the area of structural equation modeling and multilevel modeling. Dr. Enders is a member of the American Psychological Association and is also active in the American Educational Research Association.

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