ERIC Number: ED565768
Record Type: Non-Journal
Publication Date: 2010-Apr-23
Abstractor: As Provided
Reference Count: N/A
Applied Missing Data Analysis. Methodology in the Social Sciences Series
Enders, Craig K.
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.
Descriptors: Data Analysis, Error of Measurement, Research Problems, Maximum Likelihood Statistics, Bayesian Statistics, Data Collection, Syntax, Computer Software, Research Methodology
Guilford Press. 370 Seventh Avenue, Suite 1200, New York, NY 10001-1020. Tel: 800-365-7006; Tel: 212-431-9800; Fax: 212-966-6708; e-mail: firstname.lastname@example.org; Web site: http://www.guilford.com
Publication Type: Books; Guides - Classroom - Learner; Reports - Descriptive
Education Level: N/A
Audience: Researchers; Students
Authoring Institution: N/A
IES Cited: ED559978