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,
Missing Data: A Gentle Introduction (Methodology In The Social Sciences)
β Scribed by Patrick E. McKnight, Katherine M. McKnight, Souraya Sidani, Aurelio Jose Figueredo
- Publisher
- The Guilford Press
- Year
- 2007
- Tongue
- English
- Leaves
- 268
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a studyβs conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use.
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