Applied Missing Data Analysis

Author: Craig K. Enders PhD
Edition: 1
Binding: Hardcover
ISBN: 1606236393

Applied Missing Data Analysis (Methodology in the Social Sciences)

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 leve Applied Missing Data Analysis (Methodology In The Social Sciences), ISBN-13: 9781606236390, ISBN-10: 1606236393 Read medical textbooks online like Applied Missing Data Analysis here

Applied Missing Data Analysis (Methodology In The Social Sciences)

Applied Missing Data Analysis (Methodology In The Social Sciences) - Craig K. Enders

author craig k enders format hardback language english publication year 11 06 2010 series methodology in the social sciences subject philosophy psychology subject 2 psychology textbooks study guides ean 9781606236390 title applied missing data analysis sku st 1606236393 product category books comics magazines about speedy hen ltd by continuing with this checkout and ordering from speedy hen you are accepting our current terms and conditions details of which can be found by clicking here author b

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Applied Missing Data Analysis

Applied Missing Data Analysis Online

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
The book is accessible to substantive researchers while providing a leve