- We will send in 10–14 business days.
/images/books/11311806/9781593853945.jpg)
- Author: Patrick E McKnight
- Publisher: Guilford Publications
- ISBN-10: 1593853947
- ISBN-13: 9781593853945
- Format: 16.4 x 22.9 x 2.3 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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 study's 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. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 21d.00:18:10
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Patrick E McKnight
- Publisher: Guilford Publications
- ISBN-10: 1593853947
- ISBN-13: 9781593853945
- Format: 16.4 x 22.9 x 2.3 cm, hardcover
- Language: English English
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 study's 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. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.
Reviews