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Can I read Total Survey Error in Practice (Wiley Series in Survey Methodology) on EtoBox?
Total Survey Error in Practice (Wiley Series in Survey Methodology) by Paul P. Biemer, Edith de Leeuw, Stephanie Eckman, Brad Edwards, Frauke Kreuter, Lars E. Lyberg, N. Clyde Tucker, Brady T. West (eds.) is a nonfiction available to read on EtoBox.
What is Total Survey Error in Practice (Wiley Series in Survey Methodology) about?
An edited volume for an upcoming conference on Total Survey Error (TSE), this book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation and analysis. Featuring a timely presentation of total survey error (TSE), this edited volume introduces valuable tools for understanding and improving survey data quality in the context of evolving large-scale data sets This book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation, and analysis. It recognizes that survey data affects many public policy and business decisions and thus focuses on the framework for understanding and improving survey data quality. The book also addresses issues with data quality in official statistics and in social, opinion, and market research as these fields continue to evolve, leading to larger and messier data sets. This perspective challenges survey organizations to find ways to collect and process data more efficiently without sacrificing quality. The volume consists of the most up-to-date research and reporting from over 70 contributors representing the best academics an
Who reads Total Survey Error in Practice (Wiley Series in Survey Methodology)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Paul P. Biemer, Edith de Leeuw, Stephanie Eckman, Brad Edwards, Frauke Kreuter, Lars E. Lyberg, N. Clyde Tucker, Brady T. West (eds.)
- Publisher
- Wiley & Sons, Incorporated, John
- Published
- 2017
- Language
- EN
- ISBN
- 9781119041689
- Category
- nonfiction
- Subjects
- Mathematics, Psychology, Computer Science
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