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A complete and comprehensive collaboration providing insight on future approaches to telephone survey methodology

Over the past fifteen years, advances in technology have transformed the field of survey methodology, from how interviews are conducted to the management and analysis of compiled data. Advances in Telephone Survey Methodology is an all—encompassing and authoritative resource that presents a theoretical, methodological, and statistical treatment of current practices while also establishing a discussion on how state—of—the—art developments in telecommunications have and will continue to revolutionize the telephone survey process.

Seventy—five prominent international researchers and practitioners from government, academic, and private sectors have collaborated on this pioneering volume to discuss basic survey techniques and introduce the future directions of the telephone survey. Concepts and findings are organized in four parts—sampling and estimation, data collection, operations, and nonresponse—equipping the reader with the needed practical applications to approach issues such as choice of target population, sample design, questionnaire construction, interviewing training, and measurement error. The book also introduces important topics that have been overlooked in previous literature, including:

The impact of mobile telephones on telephone surveys and the rising presence of mobile—only households worldwide

The design and construction of questionnaires using Computer Assisted Telephone Interviewing (CATI) software

The emerging use of wireless communication and Voice over Internet Protocol (VoIP) versus the telephone

Methods for measuring and improving interviewer performance and productivity

Privacy, confidentiality, and respondent burden as main factors in telephone survey nonresponse

Procedures for the adjustment of nonresponse in telephone surveys

In—depth reviews of the literature presented along with a full bibliography, assembled from references throughout the world

Advances in Telephone Survey Methodology is an indispensable reference for survey researchers and practitioners in almost any discipline involving research methods such as sociology, social psychology, survey methodology, and statistics. This book also serves as an excellent text for courses and seminars on survey methods at the undergraduate and graduate levels.

A complete and comprehensive collaboration providing insight on future approaches to telephone survey methodology Over the past fifteen years, advances in technology have transformed the field of survey methodology, from how interviews are conducted to the management and analysis of compiled data. Advances in Telephone Survey Methodology is an all—encompassing and authoritative resource that presents a theoretical, methodological, and statistical treatment of current practices while also establishing a discussion on how state—of—the—art developments in telecommunications have and will continue to revolutionize the telephone survey process.Seventy—five prominent international researchers and practitioners from government, academic, and private sectors have collaborated on this pioneering volume to discuss basic survey techniques and introduce the future directions of the telephone survey. Concepts and findings are organized in four parts—sampling and estimation, data collection, operations, and nonresponse—equipping the reader with the needed practical applications to approach issues such as choice of target population, sample design, questionnaire construction, interviewing training, and measurement error. The book also introduces important topics that have been overlooked in previous literature, including: The impact of mobile telephones on telephone surveys and the rising presence of mobile—only households worldwide The design and construction of questionnaires using Computer Assisted Telephone Interviewing (CATI) software The emerging use of wireless communication and Voice over Internet Protocol (VoIP) versus the telephone Methods for measuring and improving interviewer performance and productivity Privacy, confidentiality, and respondent burden as main factors in telephone survey nonresponse Procedures for the adjustment of nonresponse in telephone surveys In—depth reviews of the literature presented along with a full bibliography, assembled from references throughout the world Advances in Telephone Survey Methodology is an indispensable reference for survey researchers and practitioners in almost any discipline involving research methods such as sociology, social psychology, survey methodology, and statistics. This book also serves as an excellent text for courses and seminars on survey methods at the undergraduate and graduate levels.

Offers a clear view of the utility and place for survey data within the broader Big Data ecosystemThis 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 DataExplores how machine learning methods can be applied to the design, collection, and analysis of social science dataFilled with examples and illustrations that show how survey data benefits Big Data evaluationCovers methods and applications used in combining Big Data with survey statisticsExamines regulations as well as ethical and privacy issuesBig 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.

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.