More Details

Summary:

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.

Table of Contents:

• An introduction to missing data
• Traditional methods for dealing with missing data
• An introduction to maximum likelihood estimation
• Maximum likelihood missing data handling
• Improving the accuracy of maximum likelihood analyses
• An introduction to Bayesian estimation
• The imputation phase of multiple imputation
• The analysis and pooling phases of multiple Imputation
• Practical issues in multiple imputation
• Models for missing not at random data
• Wrapping things up : some final practical considerations.

Author/Creator:

Enders, Craig K.

Languages:

English

Language Notes:

Item content: English

Main Work:

Applied missing data analysis [by Enders, C.K.]

Other Related Resources:

Print version: Applied missing data analysis [by Enders, C.K.] (New York : Guilford Press, c2010 — ISBN 9781606236390; LCCN 2010008465; OCLC Number 456171131)

Related Series:

Methodology in the social sciences

Subjects:

Social sciences — Statistical methods

Missing observations (Statistics)

Social sciences — Research — Methodology

Social sciences

General Notes:

Includes bibliographical references and indexes.
Description based on print version record.

Physical Description:

1 online resource (xv, 377 pages) : illustrations.

Digital Characteristics:

text file

Call Numbers:

HA29 .E497 2010eb

ISBNs:

9781606236413 (electronic bk.)
1606236415 (electronic bk.)
9786612557835
6612557834
9781606236390 (hardcover, alk. paper) [Invalid]
1606236393 (hardcover, alk. paper) [Invalid]

Other Standard Numbers:

[Unknown Type]: 9786612557835

OCLC Numbers:

630107717

Other Control Numbers:

EBC533872 (source: MiAaPQ)