Assessing the Quality of Survey Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Assessing the Quality of Survey Data write by Jörg Blasius. This book was released on 2012-02-21. Assessing the Quality of Survey Data available in PDF, EPUB and Kindle. This is a book for any researcher using any kind of survey data. It introduces the latest methods of assessing the quality and validity of such data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those derived from Multiple Correspondence Analysis, the authors develop screening procedures to search for variation in observed responses that do not correspond with actual differences between respondents. Using well-known international data sets, the authors exemplify how to detect all manner of non-substantive variation having sources such as a variety of response styles including acquiescence, respondents′ failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews.
Assessing the Quality of Survey Data
Assessing the Quality of Survey Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Assessing the Quality of Survey Data write by Jörg Blasius. This book was released on 2012-03-05. Assessing the Quality of Survey Data available in PDF, EPUB and Kindle. This book introduces the latest methods for assessing the quality and validity of survey data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those derived from Multiple Correspondence Analysis, the authors develop screening procedures to search for variation in observed responses that do not correspond with actual differences between respondents. Using well-known international data sets, the authors show how to detect all manner of non-substantive variation from response styles including acquiescence, respondents' failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews.
Big Data Meets Survey Science
Big Data Meets Survey Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Meets Survey Science write by Craig A. Hill. This book was released on 2020-09-29. Big Data Meets Survey Science available in PDF, EPUB and Kindle. Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.
Assessing the quality of survey data [electronic resource]
Assessing the quality of survey data [electronic resource] - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Assessing the quality of survey data [electronic resource] write by . This book was released on . Assessing the quality of survey data [electronic resource] available in PDF, EPUB and Kindle.
Introduction to Survey Quality
Introduction to Survey Quality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Survey Quality write by Paul P. Biemer. This book was released on 2003-05-27. Introduction to Survey Quality available in PDF, EPUB and Kindle. Peruse the history of survey research and the essential conceptsfor data quality. With an emphasis on total survey error, theauthors review principles and concepts in the field and examineimportant unresolved issues in survey methods. Spanning a range oftopics dealing with the quality of data collected through thesurvey process, they focus on such key issues as: * Major sources of survey error, examining the origins of eacherror source most successful methods for reducing errors from thosesources * Methods most often used in practice for evaluating the effectsof the source on total survey error * Implications of improving survey quality for organizationalmanagement and costs
