Michael W. Traugott – författare

In the social media era, people and organizations increasingly fight over the public's attention. This competition is especially intense in American presidential campaigns. As someone who used attention-grabbing strategies throughout his career, Donald Trump's communication skills were well suited to this environment. His campaigns illustrate the power and limits of attention-grabbing campaign tactics. While he successfully dominated the public's attention in his presidential campaigns, people consistently consumed more negative than positive information about him. Additionally, in this era, the campaign media system and the public continue to focus on incumbent performance, resisting efforts to change the subject. Finally, the editorial decisions that prestigious news outlets make about what to cover still seem to shape which stories people hear about in the crucial final weeks of the campaign. This title is also available as Open Access on Cambridge Core.

In the social media era, people and organizations increasingly fight over the public's attention. This competition is especially intense in American presidential campaigns. As someone who used attention-grabbing strategies throughout his career, Donald Trump's communication skills were well suited to this environment. His campaigns illustrate the power and limits of attention-grabbing campaign tactics. While he successfully dominated the public's attention in his presidential campaigns, people consistently consumed more negative than positive information about him. Additionally, in this era, the campaign media system and the public continue to focus on incumbent performance, resisting efforts to change the subject. Finally, the editorial decisions that prestigious news outlets make about what to cover still seem to shape which stories people hear about in the crucial final weeks of the campaign. This title is also available as Open Access on Cambridge Core.

A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketingThis book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used.Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains.Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book: Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validityOffers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applicationsIs edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation —featuring contributions from across a variety of disciplines in the social and behavioral sciencesPresents advances in the field of survey experiments, as well as relevant references in each chapter for further studyIncludes more than 20 types of original experiments carried out within probability sample surveysAddresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and methodExperimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.

A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing

This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used.

Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains.

Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:

Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation —featuring contributions from across a variety of disciplines in the social and behavioral sciences Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study Includes more than 20 types of original experiments carried out within probability sample surveys Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method

Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.

A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing

This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used.

Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains.

Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:

Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation —featuring contributions from across a variety of disciplines in the social and behavioral sciences Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study Includes more than 20 types of original experiments carried out within probability sample surveys Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method

Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.

'Some of the most experienced and thoughtful research experts in the world have contributed to this comprehensive Handbook, which should have a place on every serious survey researcher's bookshelf' - Sir Robert Worcester, Founder of MORI and President of WAPOR '82-'84.

'This is the book I have been waiting for. It not only reflects the state of the art, but will most likely also shape public opinion on public opinion research' - Olof Petersson, Professor of political science, SNS, Stockholm, Sweden

'The Handbook of Public Opinion Research is very authoritative, well organized, and sensitive to key issues in opinion research around the world. It will be my first choice as a general reference book for orienting users and training producers of opinion polls in Southeast Asia' - Mahar K. Mangahas, Ph.D., President of Social Weather Stations, Philippines (www.sws.org.ph)

'This is the most comprehensive book on public opinion research to date' - Robert Ting-Yiu Chung, Secretary-Treasurer, World Association for Public Opinion Research (WAPOR); Director of Public Opinion Programme, The University of Hong Kong

Public opinion theory and research are becoming increasingly significant in modern societies as people's attitudes and behaviours become ever more volatile and opinion poll data becomes ever more readily available. This major new Handbook is the first to bring together into one volume the whole field of public opinion theory, research methodology, and the political and social embeddedness of polls in modern societies. It comprehensively maps out the state-of-the-art in contemporary scholarship on these topics.

With over fifty chapters written by distinguished international researchers, both academic and from the commercial sector, this Handbook is designed to:

-give the reader an overview of the most important concepts included in and surrounding the term 'public opinion' and its application in modern social research

-present the basic empirical concepts for assessing public opinion and opinion changes in society

-provide an overview of the social, political and legal status of public opinion research, how it is perceived by the public and by journalists, and how it is used by governments

-offer a review of the role and use of surveys for selected special fields of application, ranging from their use in legal cases to the use of polls in marketing and campaigns.

The Handbook of Public Opinion Research provides an indispensable resource for both practitioners and students alike.

Everything you need to know about election polls can be found in this compact, conversational, and current volume. When it comes to tapping the public’s opinion on candidates and issues at the ballot box, the stakes are high. Acclaimed scholars Michael W. Traugott and Paul J. Lavrakas—who also have regularly conducted polls, not just studied them—cover the latest technologies used for data collection and data analysis, including internet polls, as well as how polls are used in campaigns and media organizations. In straightforward language and an accessible question-and-answer format, the authors cover issues such as: How do political candidates and organizations use poll data? How do news organizations collect and report polls? Why do pollsters use samples? Can internet polls really reflect a representative swath of the population? They also examine common problems and complaints about polls, such as the increasing use of “push polls” and whether polls can impact how citizens vote. Their decades of experience and insight not only answer the nuts and bolts questions, but most importantly, why it all matters in American democracy.

Everything you need to know about election polls can be found in this compact, conversational, and current volume. When it comes to tapping the public’s opinion on candidates and issues at the ballot box, the stakes are high. Acclaimed scholars Michael W. Traugott and Paul J. Lavrakas—who also have regularly conducted polls, not just studied them—cover the latest technologies used for data collection and data analysis, including internet polls, as well as how polls are used in campaigns and media organizations. In straightforward language and an accessible question-and-answer format, the authors cover issues such as: How do political candidates and organizations use poll data? How do news organizations collect and report polls? Why do pollsters use samples? Can internet polls really reflect a representative swath of the population? They also examine common problems and complaints about polls, such as the increasing use of “push polls” and whether polls can impact how citizens vote. Their decades of experience and insight not only answer the nuts and bolts questions, but most importantly, why it all matters in American democracy.