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Springer Missing Data: Analysis and Design Textbook

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Description

Missing data has long been a challenge for researchers in the social, behavioral, and health sciences. While effective solutions exist, finding practical information on how to implement these methods can be difficult. Missing Data: Analysis and Design by Springer provides the guidance needed for non-statisticians to apply modern missing data procedures correctly in their own research. By learning to implement these procedures, investigators can improve the accuracy and statistical power of their studies. This book is designed to be a practical resource, offering essential information for both beginners and advanced readers looking to master missing data analysis and design within the social and behavioral sciences.

Key Features

This Springer publication helps non-statisticians implement modern missing data procedures in their research projects.

The book provides practical information to improve the accuracy and statistical power of applied research.

Missing Data: Analysis and Design serves as a resource for both beginners and advanced readers in the field.

The content is specifically tailored for those conducting research in the social, behavioral, and health sciences.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
17 July 2014
Listed Since
18 July 2014

Barcode

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