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Author: Irina Tomescu-Dubrow
Publisher: John Wiley & Sons
ISBN: 1119712173
Category : Mathematics
Languages : en
Pages : 420
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Book Description
Survey Data Harmonization in the Social Sciences An expansive and incisive overview of the practical uses of harmonization and its implications for data quality and costs In Survey Data Harmonization in the Social Sciences, a team of distinguished social science researchers delivers a comprehensive collection of ex-ante and ex-post harmonization methodologies in the context of specific longitudinal and cross-national survey projects. The book examines how ex-ante and ex-post harmonization work individually and in relation to one another, offering practical guidance on harmonization decisions in the preparation of new data infrastructure for comparative research. Contributions from experts in sociology, political science, demography, economics, health, and medicine are included, all of which give voice to discipline-specific and interdisciplinary views on methodological challenges inherent in harmonization. The authors offer perspectives from Europe and the United States, as well as Africa, the latter of which provides insights rarely featured in survey research methodology handbooks. Readers will also find: A thorough introduction to approaches and concepts for survey data harmonization, as well as the effects of data harmonization on the overall survey research process Comprehensive explorations of ex-ante harmonization of survey instruments and non-survey data Practical discussions of ex-post harmonization of national social surveys, census and time use data, including explorations of survey data recycling A detailed overview of statistical issues linked to the use of harmonized survey data Perfect for upper undergraduate and graduate researchers who specialize in survey methodology, Survey Data Harmonization in the Social Sciences will also earn a place in the libraries of survey practitioners who engage in international research.
Author: Irina Tomescu-Dubrow
Publisher: John Wiley & Sons
ISBN: 1119712173
Category : Mathematics
Languages : en
Pages : 420
Get Book Here
Book Description
Survey Data Harmonization in the Social Sciences An expansive and incisive overview of the practical uses of harmonization and its implications for data quality and costs In Survey Data Harmonization in the Social Sciences, a team of distinguished social science researchers delivers a comprehensive collection of ex-ante and ex-post harmonization methodologies in the context of specific longitudinal and cross-national survey projects. The book examines how ex-ante and ex-post harmonization work individually and in relation to one another, offering practical guidance on harmonization decisions in the preparation of new data infrastructure for comparative research. Contributions from experts in sociology, political science, demography, economics, health, and medicine are included, all of which give voice to discipline-specific and interdisciplinary views on methodological challenges inherent in harmonization. The authors offer perspectives from Europe and the United States, as well as Africa, the latter of which provides insights rarely featured in survey research methodology handbooks. Readers will also find: A thorough introduction to approaches and concepts for survey data harmonization, as well as the effects of data harmonization on the overall survey research process Comprehensive explorations of ex-ante harmonization of survey instruments and non-survey data Practical discussions of ex-post harmonization of national social surveys, census and time use data, including explorations of survey data recycling A detailed overview of statistical issues linked to the use of harmonized survey data Perfect for upper undergraduate and graduate researchers who specialize in survey methodology, Survey Data Harmonization in the Social Sciences will also earn a place in the libraries of survey practitioners who engage in international research.
Author: Timothy P. Johnson
Publisher: John Wiley & Sons
ISBN: 1118885015
Category : Social Science
Languages : en
Pages : 961
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Book Description
Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques. This important resource: Contains contributions from key experts in their respective fields of study from around the globe Highlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other data Includes material that is organized within the total survey error framework Presents extensive and up-to-date references throughout the book Written for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys.
Author: Craig A. Hill
Publisher: John Wiley & Sons
ISBN: 1118976320
Category : Social Science
Languages : en
Pages : 784
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Book Description
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.
Author: Paul C. Beatty
Publisher: John Wiley & Sons
ISBN: 1119263646
Category : Mathematics
Languages : en
Pages : 738
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Book Description
A new and updated definitive resource for survey questionnaire testing and evaluation Building on the success of the first Questionnaire Development, Evaluation, and Testing (QDET) conference in 2002, this book brings together leading papers from the Second International Conference on Questionnaire Design, Development, Evaluation, and Testing (QDET2) held in 2016. The volume assesses the current state of the art and science of QDET; examines the importance of methodological attention to the questionnaire in the present world of information collection; and ponders how the QDET field can anticipate new trends and directions as information needs and data collection methods continue to evolve. Featuring contributions from international experts in survey methodology, Advances in Questionnaire Design, Development, Evaluation and Testing includes latest insights on question characteristics, usability testing, web probing, and other pretesting approaches, as well as: Recent developments in the design and evaluation of digital and self-administered surveys Strategies for comparing and combining questionnaire evaluation methods Approaches for cross-cultural and cross-national questionnaire development New data sources and methodological innovations during the last 15 years Case studies and practical applications Advances in Questionnaire Design, Development, Evaluation and Testing serves as a forum to prepare researchers to meet the next generation of challenges, making it an excellent resource for researchers and practitioners in government, academia, and the private sector.
Author: Chae-yŏl Yi
Publisher: Springer Nature
ISBN: 9819738660
Category : Asia
Languages : en
Pages : 342
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Book Description
This book presents an integrated international exploration of social well-being from a comparative standpoint: how it is framed, how it is perceived by the people, and how it is exploited by the state. It provides a genuine multicultural and multidimensional understanding of social well-being in an Asian context by showing the strength of comparative analysis. The idiosyncrasy of an individual society is reinterpreted through the universality of harmonized data analysis and imaginative discussion of the findings. The book offers the reader a deep understanding of how social well-being is framed in eight Asian countries, how it is contextualized in each society, and how it is correlated with the concept of development and sustainability. Articulated by carefully chosen examples, historical background, and interpretation of the latest data analysis, this book is highly recommended to readers who seek to understand the relationship among the well-being of individuals, national development, and global sustainability.
Author: Olena Hankivsky
Publisher: Springer
ISBN: 331998473X
Category : Political Science
Languages : en
Pages : 755
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Book Description
Grounded in black feminist scholarship and activism and formally coined in 1989 by black legal scholar Kimberlé Williams Crenshaw, intersectionality has garnered significant attention in the field of public policy and other disciplines/fields of study. The potential of intersectionality, however, has not been fully realized in policy, largely due to the challenges of operationalization. Recently some scholars and activists began to advance conceptual clarity and guidance for intersectionality policy applications; yet a pressing need remains for knowledge development and exchange in relation to empirical work that demonstrates how intersectionality improves public policy. This handbook fills this void by highlighting the key challenges, possibilities and critiques of intersectionality-informed approaches in public policy. It brings together international scholars across a variety of policy sectors and disciplines to consider the state of intersectionality in policy research and analysis. Importantly, it offers a global perspective on the added value and “how-to” of intersectionality-informed policy approaches that aim to advance equity and social justice.
Author: Lior Gideon
Publisher: Springer Science & Business Media
ISBN: 1461438764
Category : Social Science
Languages : en
Pages : 514
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Book Description
Surveys enjoy great ubiquity among data collection methods in social research: they are flexible in questioning techniques, in the amount of questions asked, in the topics covered, and in the various ways of interactions with respondents. Surveys are also the preferred method by many researchers in the social sciences due to their ability to provide quick profiles and results. Because they are so commonly used and fairly easy to administer, surveys are often thought to be easily thrown together. But designing an effective survey that yields reliable and valid results takes more than merely asking questions and waiting for the answers to arrive. Geared to the non-statistician, the Handbook of Survey Methodology in Social Sciences addresses issues throughout all phases of survey design and implementation. Chapters examine the major survey methods of data collection, providing expert guidelines for asking targeted questions, improving accuracy and quality of responses, while reducing sampling and non-sampling bias. Relying on the Total Survey Error theory, various issues of both sampling and non-sampling sources of error are explored and discussed. By covering all aspects of the topic, the Handbook is suited to readers taking their first steps in survey methodology, as well as to those already involved in survey design and execution, and to those currently in training. Featured in the Handbook: • The Total Survey Error: sampling and non-sampling errors. • Survey sampling techniques. • The art of question phrasing. • Techniques for increasing response rates • A question of ethics: what is allowed in survey research? • Survey design: face-to-face, phone, mail, e-mail, online, computer-assisted.? • Dealing with sensitive issues in surveys. • Demographics of respondents: implications for future survey research. • Dealing with nonresponse, and nonresponse bias The Handbook of Survey Methodology in Social Sciences offers how-to clarity for researchers in the social and behavioral sciences and related disciplines, including sociology, criminology, criminal justice, social psychology, education, public health, political science, management, and many other disciplines relying on survey methodology as one of their main data collection tools.
Author: David L. Vannette
Publisher: Springer
ISBN: 3319543954
Category : Political Science
Languages : en
Pages : 655
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Book Description
This handbook is a comprehensive reference guide for researchers, funding agencies and organizations engaged in survey research. Drawing on research from a world-class team of experts, this collection addresses the challenges facing survey-based data collection today as well as the potential opportunities presented by new approaches to survey research, including in the development of policy. It examines innovations in survey methodology and how survey scholars and practitioners should think about survey data in the context of the explosion of new digital sources of data. The Handbook is divided into four key sections: the challenges faced in conventional survey research; opportunities to expand data collection; methods of linking survey data with external sources; and, improving research transparency and data dissemination, with a focus on data curation, evaluating the usability of survey project websites, and the credibility of survey-based social science. Chapter 23 of this book is open access under a CC BY 4.0 license at link.springer.com.
Author: Kazimierz Maciej Słomczyński
Publisher:
ISBN: 9788376831268
Category :
Languages : en
Pages : 281
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Book Description
Author: Jürgen H.P. Hoffmeyer-Zlotnik
Publisher: Springer
ISBN: 3319902091
Category : Social Science
Languages : en
Pages : 128
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Book Description
Above all, this book focuses on the application of sociodemographic survey questions. Based on theoretical foundations, it addresses the operationalization of variables and presents socio-demographic questionnaire modules for within- and across-country comparative survey research. The book pursues three main objectives: to provide a thorough and comprehensive overview of the survey instruments currently available for the measurement of sociodemographic variables in cross-national comparative research; to offer the reader a set of harmonized international demographic standards; and to show how these standards can be implemented by the various parties involved in international comparative surveys – from the central project coordinators, to the researchers on the national survey teams, to the fieldwork agencies and their interviewers, to respondents, and eventually, to the data processing experts preparing the datasets for comparative analysis. The book offers a valuable resource for researchers, practitioners and students actively involved in producing and analyzing sociodemographic survey data. The typical readers will be social science researchers, qualified consultants and professionals interested in the field of (comparative) survey research. The book can also serve as a useful supplement to introductory textbooks on survey methodology and is suitable for Bachelor and Master students of the social sciences.
