Applied Missing Data Analysis
( Methodology in the Social Sciences )
Publication series ：Methodology in the Social Sciences
Author： Enders> Craig K.
Publisher： Guilford Publications Inc
Publication year： 2010
E-ISBN: 9781606236413
P-ISBN(Paperback): 9781606236390
Subject： C32 Statistical method, calculating method
Keyword： 心理学,护理学,临床医学,统计学,教育学,教育,经济计划与管理
Language： ENG
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Description
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 (www.appliedmissingdata.com) 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.
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