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Elections are random events. From individuals deciding whether to vote, to people deciding for whom to vote, to election authorities deciding what to count, the outcomes of competitive democratic elections are rarely known until election day...or beyond. Understanding Elections through Statistics: Polling, Prediction, and Testing explores this random phenomenon from two points of view: predicting the election outcome using opinion polls and testing the election outcome using government-reported data. Written for those with only a brief introduction to statistics, this book takes you on a statistical journey from how polls are taken to how they can—and should—be used to estimate current popular opinion. Once an understanding of the election process is built, we turn toward testing elections for evidence of unfairness. While holding elections has become the de facto proof of government legitimacy, those electoral processes may hide a dirty little secret of the government illicitly ensuring a favorable election outcome. This book includes these features designed to make your statistical journey more enjoyable: Vignettes of elections, including maps, to provide concrete bases for the material In-chapter cues to help one avoid the heavy math—or to focus on it End-of-chapter problems designed to review and extend that which was covered in the chapter Many opportunities to turn the power of the R statistical environment to the enclosed election data files, as well as to those you find interesting From these features, it is clear the audience for this book is quite diverse. This text provides mathematics for those interested in mathematics, but also offers detours for those who just want a good read and a deeper understanding of elections. Author Ole J. Forsberg holds PhDs in both political science and statistics. He currently teaches mathematics and statistics in the Department of Mathematics at Knox College in Galesburg, IL.
Elections are random events. From individuals deciding whether to vote, to people deciding for whom to vote, to election authorities deciding what to count, the outcomes of competitive democratic elections are rarely known until election day...or beyond. Understanding Elections through Statistics: Polling, Prediction, and Testing explores this random phenomenon from two points of view: predicting the election outcome using opinion polls and testing the election outcome using government-reported data. Written for those with only a brief introduction to statistics, this book takes you on a statistical journey from how polls are taken to how they can—and should—be used to estimate current popular opinion. Once an understanding of the election process is built, we turn toward testing elections for evidence of unfairness. While holding elections has become the de facto proof of government legitimacy, those electoral processes may hide a dirty little secret of the government illicitly ensuring a favorable election outcome. This book includes these features designed to make your statistical journey more enjoyable: Vignettes of elections, including maps, to provide concrete bases for the material In-chapter cues to help one avoid the heavy math—or to focus on it End-of-chapter problems designed to review and extend that which was covered in the chapter Many opportunities to turn the power of the R statistical environment to the enclosed election data files, as well as to those you find interesting From these features, it is clear the audience for this book is quite diverse. This text provides mathematics for those interested in mathematics, but also offers detours for those who just want a good read and a deeper understanding of elections. Author Ole J. Forsberg holds PhDs in both political science and statistics. He currently teaches mathematics and statistics in the Department of Mathematics at Knox College in Galesburg, IL.
This is the first book on the U.S. presidential election system to analyze the basic principles underlying the design of the existing system and those at the heart of competing proposals for improving the system. The book discusses how the use of some election rules embedded in the U.S. Constitution and in the Presidential Succession Act may cause skewed or weird election outcomes and election stalemates. The book argues that the act may not cover some rare though possible situations which the Twentieth Amendment authorizes Congress to address. Also, the book questions the constitutionality of the National Popular Vote Plan to introduce a direct popular presidential election de facto, without amending the Constitution, and addresses the plan’s “Achilles’ Heel.” In particular, the book shows that the plan may violate the Equal Protection Clause from the Fourteenth Amendment of the Constitution. Numerical examples are provided to show that the counterintuitive claims of the NPV originators and proponents that the plan will encourage presidential candidates to “chase” every vote in every state do not have any grounds. Finally, the book proposes a plan for improving the election system by combining at the national level the “one state, one vote” principle – embedded in the Constitution – and the “one person, one vote” principle. Under this plan no state loses its current Electoral College benefits while all the states gain more attention of presidential candidates.
"An understanding of the relationship between the product and the process in election polling is often lost. This edited volume unites ideas and researchers, with quality playing the central role." —J. Michael Brick, PhD, Director of the Survey Methods Unit, Westat, Inc. Elections and Exit Polling is a truly unique examination of the specialized surveys that are currently used to track and collect data on elections and voter preferences. Employing modern research from the past decade and a series of interviews with famed American pollster Warren Mitofsky (1934-2006), this volume provides a relevant and groundbreaking look at the key statistical techniques and survey methods for measuring voter preferences worldwide. Drawing on the most current studies on pre-election and exit polling, this book outlines improvements that have developed in recent years and the results of their implementation. Coverage begins with an introduction to exit polling and a basic overview of its history, structure, limitations, and applications. Subsequent chapters focus on the use of exit polling in the United States election cycles from 2000–2006 and the problems that were encountered by both pollsters and the everyday voter, such as how to validate official vote count, confidentiality, new voting methods, and continuing data quality concerns. The text goes on to explore the presence of these issues in international politics, with examples and case studies of elections from Europe, Asia, and the Middle East. Finally, looking to the upcoming 2008 U.S. presidential election, the discussion concludes with predictions and recommendations on how to gather more accurate and timely polling data. Research papers from over fifty eminent practitioners in the fields of political science and survey methods are presented alongside excerpts from the editors' own interviews with Mitofsky. The editors also incorporate their own reflections throughout and conclude each chapter with a Summary Observations section that highlights notable concepts and trends. The appendix features sample questionnaires from actual exit polling scenarios and an extensive bibliography directs the reader to additional references for further study. Combining wisdom from one of the most notable names in the field along with findings from modern research and insightful recommendations for future practices, Elections and Exit Polling is an excellent supplement for political science and survey research courses at the upper-undergraduate and graduate levels. It is also a one-of-a-kind reference for pollsters, survey researchers, statisticians, and anyone with a general interest in the methods behind global elections and exit polling.
The CQ Press Guide to U.S. Elections is a comprehensive, two-volume reference providing information on the U.S. electoral process, in-depth analysis on specific political eras and issues, and everything in between. Thoroughly revised and infused with new data, analysis, and discussion of issues relating to elections through 2014, the Guide will include chapters on: Analysis of the campaigns for presidency, from the primaries through the general election Data on the candidates, winners/losers, and election returns Details on congressional and gubernatorial contests supplemented with vast historical data. Key Features include: Tables, boxes and figures interspersed throughout each chapter Data on campaigns, election methods, and results Complete lists of House and Senate leaders Links to election-related websites A guide to party abbreviations
In politics, you begin by asking theoretically interesting questions. Sometimes statistics can help answer those questions. When it comes to applied statistics, students shouldn’t just learn a vast array of formula—they need to learn the basic concepts of statistics as solutions to particular problems. Peter Galderisi demonstrates that statistics are a summary of how to answer the problem: learn the math but only after learning the concepts and methodological considerations that give it context. With this as a starting point, Understanding Political Science Statistics asks students to consider how to address a research problem conceptually before being led to the appropriate formula. Throughout, Galderisi looks at problems through a lens of "observations and expectations," which can be applied to myriad statistical techniques, both descriptive and inferential. This approach links the answers researchers get from their individual data analysis to the research designs and questions from which these analyses are derived. By emphasizing the underlying logic of statistical analysis for greater understanding and drawing on applications and examples from political science (including law), the book illustrates how students can apply statistical concepts and techniques in their own research, in future coursework, and simply as an informed consumer of numbers in public discourse. The following features help students master the material: Legal and Methodological sidebars highlight key concepts and provide applied examples on law, politics, and methodology; End-of-chapter exercises allow students to test their mastery of the basic concepts and techniques along the way; A Sample Solutions Guide provides worked-out answers for odd-numbered exercises, with all answers available in the Instructor’s Manual; Key Terms are helpfully called out in both Marginal Definitions and a Glossary; A Companion Website (www.routledge.com/cw/galderisi) with further resources for both students and instructors; A diverse array of data sets include subsets of the ANES and Eurobarometer surveys; CCES; US Congressional district data; and a cross-national dataset with political, economic, and demographic variables; and Companion guides to SPSS and Stata walk students through the procedures for analysis and provide exercises that go hand-in-hand with online data sets.
The passage of Citizens United by the Supreme Court in 2010 sparked a renewed debate about campaign spending by large political action committees, or Super PACs. Its ruling said that it is okay for corporations and labor unions to spend as much as they want in advertising and other methods to convince people to vote for or against a candidate. This book provides a wide range of opinions on the issue. Includes primary and secondary sources from a variety of perspectives; eyewitnesses, scientific journals, government officials, and many others.