Paul S. Herrnson

Frederick G. Conrad

Benjamin B. Bederson

Richard G. Niemi

Michael W. Traugott

Michael J. Hanmer

Voting difficulties hung over America's presidential election in 2000 like a dark cloud. Hanging chads, a butterfly ballot, and the Supreme Court remain the most vivid memories of that political donnybrook. Passage of 2002's Help America Vote Act sparked further interest in the physical process of casting a ballot, yet several recent contests still produced confusion at the polls. A solution to at least some of those problems may be found in new technology, but such innovations carry their own concerns and questions. V oting Technology is the first book to investigate in a scientific and authoritative manner how voters respond to the new equipment. The authors—an interdisciplinary group of experts in American elections, political behavior, human-computer interaction, and human factors psychology—assess five commercially available voting systems, each one representing a specific class based on shared design principles, as well as a prototype system not currently available. They evaluate the systems against different criteria (including ease of use, speed, and accuracy) using field experiments, laboratory experiments, and expert reviews. The results reveal the good and bad about the new systems, including specific features that contribute to clarity, confusion, or error. Going beyond the concern with spoiled ballots, they determine whether voters actually cast their ballots for the candidates they intended to support. They address fundamental questions of whether voters like and trust the equipment and whether the various systems are equally usable by all voters. Their research also opens up an entirely new line of inquiry by asking about the interaction between ballot format and voter behavior. The concluding chapter pulls together best practices that will guide manufacturers of voting systems, ballot designers, election officials, political observers, and of course, voters. In a political system based on free exercise of personal choice, the least we can do is make sure our choices are being accurately recorded and counted.

The Not-So-Simple Act of Casting a Ballot

Voting Technology

Paul J. Lavrakas

Edith D. de Leeuw

Brady T. West

Courtney Kennedy

Allyson L. Holbrook

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.

Techniques that Combine Random Sampling with Random Assignment

Experimental Methods in Survey Research

Frank Newport

Stuart N. Soroka

Jonathan M. Ladd

Leticia Bode

Ceren Budak

Josh Pasek

Lisa O. Singh

How the 2016 news media environment allowed Trump to win the presidency The 2016 presidential election campaign might have seemed to be all about one man. He certainly did everything possible to reinforce that impression. But to an unprecedented degree the campaign also was about the news media and its relationships with the man who won and the woman he defeated. Words that Matter assesses how the news media covered the extraordinary 2016 election and, more important, what information—true, false, or somewhere in between—actually helped voters make up their minds. Using journalists' real-time tweets and published news coverage of campaign events, along with Gallup polling data measuring how voters perceived that reporting, the book traces the flow of information from candidates and their campaigns to journalists and to the public. The evidence uncovered shows how Donald Trump's victory, and Hillary Clinton's loss, resulted in large part from how the news media responded to these two unique candidates. Both candidates were unusual in their own ways, and thus presented a long list of possible issues for the media to focus on. Which of these many topics got communicated to voters made a big difference outcome. What people heard about these two candidates during the campaign was quite different. Coverage of Trump was scattered among many different issues, and while many of those issues were negative, no single negative narrative came to dominate the coverage of the man who would be elected the 45th president of the United States. Clinton, by contrast, faced an almost unrelenting news media focus on one negative issue—her alleged misuse of e-mails—that captured public attention in a way that the more numerous questions about Trump did not. Some news media coverage of the campaign was insightful and helpful to voters who really wanted serious information to help them make the most important decision a democracy offers. But this book also demonstrates how the modern media environment can exacerbate the kind of pack journalism that leads some issues to dominate the news while others of equal or greater importance get almost no attention, making it hard for voters to make informed choices.

How the News and Social Media Shaped the 2016 Presidential Campaign

Words That Matter

Michael W. Traugott

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