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Paul P. Biemer (Ed.) - Total Survey Error in Practice - 9781119041672 - V9781119041672
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Total Survey Error in Practice

€ 119.14
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Description for Total Survey Error in Practice Hardcover. 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. Editor(s): Biemer, Paul P.; Leeuw, Edith Desiree de; Edwards, Brad; Kreuter, Frauke; Lyberg, Lars E.; West, Brady T.; Tucker, N. Clyde; Eckman, Stephanie. Series: Wiley Series in Survey Methodology. Num Pages: 624 pages. BIC Classification: GPS; PBW. Category: (P) Professional & Vocational. Dimension: 260 x 179 x 35. Weight in Grams: 1246.
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 ... Read more

Product Details

Publisher
John Wiley and Sons Ltd
Format
Hardback
Publication date
2017
Series
Wiley Series in Survey Methodology
Condition
New
Weight
1245g
Number of Pages
624
Place of Publication
Hoboken, United States
ISBN
9781119041672
SKU
V9781119041672
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Paul P. Biemer (Ed.)
Paul P. Biemer, PhD, is distinguished fellow at RTI International and associate director of Survey Research and Development at the Odum Institute, University of North Carolina, USA. Edith de Leeuw, PhD, is professor of survey methodology in the Department of Methodology and Statistics at Utrecht University, the Netherlands. Stephanie Eckman, PhD, is fellow at ... Read more

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