📖 Applied Missing Data Analysis
Tuesday, November 27, 2018 by dev
Applied Missing Data Analysis
By:Craig K. Enders
Published on 2010-04-23 by Guilford Press
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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Book ID of Applied Missing Data Analysis's Books is MN8ruJd2tvgC, Book which was written byCraig K. Endershave ETAG "VAPJuwLQvUc"
Book which was published by Guilford Press since 2010-04-23 have ISBNs, ISBN 13 Code is 9781606236390 and ISBN 10 Code is 1606236393
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