Welcome to IOU Digital Library

A comprehensive guide to methods for handling missing data in research. The book covers techniques such as multiple imputation, full information maximum likelihood, longitudinal data handling, design considerations, and practical implementation using statistical software — intended for applied researchers, statisticians, and students who deal with incomplete data in social, behavioral, or medical sciences.

no reviews

245: $a: Applied Missing Data Analysis
245: $b:
082: $a:
100: $a: Craig K. Enders PhD
650: $a: Statistics
250: $a:
440: $v:
250: $b: The Guilford Press
250: $c: 2010
020: $a: 978-1-60623-639-0
300: $a: 416