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| statistics for political analysis: Statistics for Political Analysis Theresa Marchant-Shapiro, 2015 Statistics for Political Analysis will be an introduction to stats geared to political science students. Marchant-Shapiro will focus on the statistical tools most often used by political scientists and will use political examples, cases, and data throughout to show students how to answer real questions about politics using real political data. Her goal is to provide clear and accessible explanation and instruction so students not only understand the math, but can do the math. But instead of focusing on equations, Marchant-Shapiro will take a how to approach to doing the math, making the book much more approachable to political science students. Each chapter follows a 4-part structure: 1) the concept will be introduced with a real world example; 2) the statistical measure will be calculated ... |
| statistics for political analysis: Statistics for Political Analysis Theresa Marchant-Shapiro, 2014-01-15 Statistics are just as vital to understanding political science as the study of institutions, but getting students to understand them when teaching a methods course can be a big challenge. In Statistics for Political Analysis, author Theresa Marchant-Shapiro makes understanding the numbers easy. The only introduction to statistics book written specifically for political science undergraduates, this book explains each statistical concept in plain language—from basic univariate statistics and the basic measures of association to bivariate and multivariate regression—and uses real world political examples. Students learn the relevance of statistics to political science, how to understand and calculate statistics mathematically, and how to obtain them using SPSS. All calculations are modeled step-by-step, giving students needed practice to master the process without making it intimidating. Each chapter concludes with exercises that get students actively applying the steps and building their professional skills through data calculation, analysis, and memo writing. |
| statistics for political analysis: Understanding Political Science Statistics Peter Galderisi, 2015-03-12 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. |
| statistics for political analysis: Political Analysis Using R James E. Monogan III, 2015-12-14 This book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first time or broaden their skill set with the program. While the book uses data drawn from political science, public administration, and policy analyses, it is written so that students and researchers in other fields should find it accessible and useful as well. By the end of the first seven chapters, an entry-level user should be well acquainted with how to use R as a traditional econometric software program. The remaining four chapters will begin to introduce the user to advanced techniques that R offers but many other programs do not make available such as how to use contributed libraries or write programs in R. The book details how to perform nearly every task routinely associated with statistical modeling: descriptive statistics, basic inferences, estimating common models, and conducting regression diagnostics. For the intermediate or advanced reader, the book aims to open up the wide array of sophisticated methods options that R makes freely available. It illustrates how user-created libraries can be installed and used in real data analysis, focusing on a handful of libraries that have been particularly prominent in political science. The last two chapters illustrate how the user can conduct linear algebra in R and create simple programs. A key point in these chapters will be that such actions are substantially easier in R than in many other programs, so advanced techniques are more accessible in R, which will appeal to scholars and policy researchers who already conduct extensive data analysis. Additionally, the book should draw the attention of students and teachers of quantitative methods in the political disciplines. |
| statistics for political analysis: Understanding Political Science Statistics using Stata Ellen Seljan, 2017-07-05 This manual walks students through the procedures for analysis in Stata and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political Science Statistics: Observations and Expectations in Political Analysis, by Peter Galderisi, making it easy to use alongside the book in a course or as a stand-alone guide to using Stata. Seljan demonstrates how to run commands in Stata for different kinds of research questions and shows the results of the analyses, using lots of annotated screenshots from Stata version 12 (but compatible with all versions, including Stata Small). Students will be guided through standard processes replete with examples and exercises to ready them for future work in political science research. The diverse group of data sets provided include subsamples of both the 2008 and 2012 American National Election Studies, a Eurobarometer survey, single year and longitudinal congressional district files, the 2012 Comparative Congressional Election Study, and a comparative, crossnational country file. Versions with reduced case numbers and variables are also included that are compatible with Stata Small.This manual (and a parallel SPSS manual) are available as stand-alone products or packaged with the textbook Understanding Political Science Statistics. |
| statistics for political analysis: R for Political Data Science Francisco Urdinez, Andres Cruz, 2020-11-17 R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions. |
| statistics for political analysis: Doing Research in Political Science Paul Pennings, Hans Keman, Jan Kleinnijenhuis, 2005-11-11 This is an immensely helpful book for students starting their own research... an excellent introduction to the comparative method giving an authoritative overview over the research process - Klaus Armingeon, University of Bern Doing Research in Political Science is the book for mastering the comparative method in all the social sciences - Jan-Erik Lane, University of Geneva This book has established itself as a concise and well-readable text on comparative methods and statistics in political science I...strongly recommend it. - Dirk Berg-Schlosser, Philipps-University Marburg This thoroughly revised edition of the popular textbook offers an accessible but comprehensive introduction to comparative research methods and statistics for students of political science. Clearly organized around three parts, the text introduces the main theories and methodologies used in the discipline. Part 1 frames the comparative approach within the methodological framework of the political and social sciences. Part 2 introduces basic descriptive and inferential statistical methods as well as more advanced multivariate methods used in quantitative political analysis. Part 3 applies the methods and techniques of Parts 1 & 2 to research questions drawn from contemporary themes and issues in political science. Incorporating practice exercises, ideas for further reading and summary questions throughout, Doing Research in Political Science provides an invaluable step-by-step guide for students and researchers in political science, comparative politics and empirical political analysis. |
| statistics for political analysis: An R Companion to Political Analysis Philip H. Pollock III, Barry C. Edwards, 2017-04-12 Teach your students to conduct political research using R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. The all-new Second Edition includes new and revised exercises and datasets showing students how to analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is accompanied by annotated and labeled screen shots and end-of-chapter exercises to help students apply what they have learned. Students will love this book, as will their teachers. – Courtney Brown, Emory University |
| statistics for political analysis: Empirical Political Analysis Craig Leonard Brians, 2016-05-23 Empirical Political Analysis introduces students to the full range of qualitative and quantitative methods used in political science research. Organized around all of the stages of the research process, this comprehensive text surveys designing experiments, conducting research, evaluating results, and presenting findings. With exercises in the text and in a companion lab manual, Empirical Political Analysis gives students applied insights on the scopes and methods of political science research. Features: Offers comprehensive coverage of quantitative and qualitative research methods in political science, a hallmark since it first published over 25 years ago. Covers the research process from start to finish—hypothesis formation, literature review, research design, data gathering, data analysis, and research report writing. Includes in-depth examples of political science research to give discipline-specific instruction on political analysis. Features a “Practical Research Ethics” box in every chapter to make students aware of common ethical dilemmas and potential solutions to them. Written by political scientists who actively publish in subfields ranging from comparative politics to environmental policy to political communications to voting behavior. Includes learning goals, key terms, and research examples to help students engage and explore the most important concepts. |
| statistics for political analysis: Understanding Political Science Statistics Peter Galderisi, 2015-03-12 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. |
| statistics for political analysis: The Oxford Handbook of Contextual Political Analysis Robert E. Goodin, Charles Tilly, 2006 The Oxford Handbooks of Political Science is a ten-volume set of reference books offering authoritative and engaging critical overviews of the state of political science. Each volume focuses on a particular part of the discipline, with volumes on Public Policy, Political Theory, Political Economy, Contextual Political Analysis, Comparative Politics, International Relations, Law and Politics, Political Behavior, Political Institutions, and Political Methodology. The project as a whole is under the General Editorship of Robert E. Goodin, with each volume being edited by a distinguished international group of specialists in their respective fields. The books set out not just to report on the discipline, but to shape it. The series will be an indispensable point of reference for anyone working in political science and adjacent disciplines. The Oxford Handbook of Contextual Political Analysis sets out to synthesize and critique for the first time those approaches to political science that offer a more fine-grained qualitative analysis of the political world. The work in the volume has a common aim in being sensitive to the thoughts of contextual nuances that disappear from large-scale quantitative modelling or explanations based on abstract, general, universal laws of human behavior. It shows that 'context matters' in a great many ways: philosophical context matters; psychological context matters; cultural and historical contexts matter; place, population, and technology all matter. By showcasing scholars who specialize in the analysis of all these contexts side-by-side, the Oxford Handbook of Contextual Political Analysis shows how political scientists can take those crucial contextual factors systematically into account. |
| statistics for political analysis: Quantitative Social Science Kosuke Imai, Lori D. Bougher, 2021-03-16 The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides |
| statistics for political analysis: Text as Data Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart, 2022-03-29 A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry |
| statistics for political analysis: Encyclopedia of Measurement and Statistics Neil J. Salkind, 2006-10-13 The study of measurement and statistics can be less than inviting. However, in fields as varying as education, politics, and health care, assessment and the use of measurement and statistics have become integral parts of almost every activity undertaken. These activities require the organization of ideas, the generation of hypotheses, the collection of data, and the interpretation, illustration, and analysis of data. No matter where educated people look, this critical analysis is more important than ever in an age where information—and lots of it—is readily available. The ideas and tools contained in the Encyclopedia of Measurement and Statistics are approachable and can be invaluable for understanding a very technical world and the increasing flow of information. Although there are references that cover statistics and assessment in depth, none provides as comprehensive a resource in as focused and accessible a manner as the three volumes of this Encyclopedia. Through approximately 500 contributions, experts provide an overview and an explanation of the major topics in these two areas. Key Features Covers every major facet of these two different, but highly integrated disciplines—from mean, mode, and median to reliability, validity, significance, correlation, and much more—all without overwhelming the informed reader Offers cross-disciplinary coverage, with contributions from and applications to the fields of Psychology, Education, Sociology, Human Development, Political Science, Business and Management, Public Health, and others Provides cross-reference terms, further readings, and Web site URLs following most entries, as well as an extensive set of appendices and an annotated list of organizations relevant to measurement and statistics Appendices Features Appendix A is a guide to basic statistics for those readers who might like an instructional step-by-step presentation of basic concepts in statistics and measurement Appendix B is a table of critical values used in hypothesis testing and an important part of any reference in this area Appendix C represents a collection of some important and useful measurement and statistics Internet sites A primary goal of creating this set of volumes is to open up the broad discipline of measurement and statistics to a wider and more general audience than usual. Edited by bestselling author Neil J. Salkind, this Encyclopedia is specifically designed to appeal to beginning and intermediate-level students, practitioners, researchers, and consumers of information. It is a welcome addition to any academic library. |
| statistics for political analysis: The Oxford Handbook of Political Methodology Janet M. Box-Steffensmeier, Henry E. Brady, David Collier, 2008-08-21 Political methodology has changed dramatically over the past thirty years, and many new methods and techniques have been developed. Both the Political Methodology Society and the Qualitative/Multi-Methods Section of the American Political Science Association have engaged in ongoing research and training programs that have advanced quantitative and qualitative methodology. The Oxford Handbook of Political Methodology presents and synthesizes these developments. The Handbook provides comprehensive overviews of diverse methodological approaches, with an emphasis on three major themes. First, specific methodological tools should be at the service of improved conceptualization, comprehension of meaning, measurement, and data collection. They should increase analysts' leverage in reasoning about causal relationships and evaluating them empirically by contributing to powerful research designs. Second, the authors explore the many different ways of addressing these tasks: through case-studies and large-n designs, with both quantitative and qualitative data, and via techniques ranging from statistical modelling to process tracing. Finally, techniques can cut across traditional methodological boundaries and can be useful for many different kinds of researchers. Many of the authors thus explore how their methods can inform, and be used by, scholars engaged in diverse branches of methodology. |
| statistics for political analysis: Studyguide for Statistics for Political Analysis by (Editor), Theresa Marchant-Shapiro, ISBN 9781452258652 Cram101 Textbook Reviews, 2014-04-25 Never HIGHLIGHT a Book Again! Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9781452258652. This item is printed on demand. |
| statistics for political analysis: The First Political Order Valerie M. Hudson, Donna Lee Bowen, Perpetua Lynne Nielsen, 2020-03-17 Global history records an astonishing variety of forms of social organization. Yet almost universally, males subordinate females. How does the relationship between men and women shape the wider political order? The First Political Order is a groundbreaking demonstration that the persistent and systematic subordination of women underlies all other institutions, with wide-ranging implications for global security and development. Incorporating research findings spanning a variety of social science disciplines and comprehensive empirical data detailing the status of women around the globe, the book shows that female subordination functions almost as a curse upon nations. A society’s choice to subjugate women has significant negative consequences: worse governance, worse conflict, worse stability, worse economic performance, worse food security, worse health, worse demographic problems, worse environmental protection, and worse social progress. Yet despite the pervasive power of social and political structures that subordinate women, history—and the data—reveal possibilities for progress. The First Political Order shows that when steps are taken to reduce the hold of inequitable laws, customs, and practices, outcomes for all improve. It offers a new paradigm for understanding insecurity, instability, autocracy, and violence, explaining what the international community can do now to promote more equitable relations between men and women and, thereby, security and peace. With comprehensive empirical evidence of the wide-ranging harm of subjugating women, it is an important book for security scholars, social scientists, policy makers, historians, and advocates for women worldwide. |
| statistics for political analysis: Political Analysis for the Rest of Us Thyne, 2023-06-28 |
| statistics for political analysis: The Analysis of Political Systems Douglas V. Verney, 2013-04-15 Published in 1998, The Analysis of Political Systems is a valuable contribution to the field of Sociology & Social Policy. |
| statistics for political analysis: How to Lie with Statistics Darrell Huff, 2010-12-07 If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled. |
| statistics for political analysis: Quantitative Methods for the Social Sciences Daniel Stockemer, 2018-11-19 This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences. |
| statistics for political analysis: Statistical Analysis Quick Reference Guidebook Alan C. Elliott, Wayne A. Woodward, 2007 A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes. |
| statistics for political analysis: Research Methods and Statistics for Public and Nonprofit Administrators Masami Nishishiba, Matthew Jones, Mariah Kraner, 2013-09-17 Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide is a comprehensive, easy-to-read, core text that thoroughly prepares readers to apply research methods and data analysis to the professional environments of public and non-profit administration. The authors expertly incorporate original case examples to demonstrate concepts using “real actors,” facing specific scenarios, in which research methods must be applied. This unique approach—presented in language accessible to both students new to research as well as current practitioners—guides the reader in fully understanding the research options detailed throughout the text. |
| statistics for political analysis: The Oxford Handbook of Political Networks Jennifer Nicoll Victor, Alexander H. Montgomery, Mark Lubell, 2017-08-23 Networks are omnipresent in our natural and social world, and they are at the heart of politics. Relationships of many types drive political institutions, processes, and decision-making. Therefore, it is imperative for the study of politics to include network approaches. Already, these approaches have advanced our understanding of critical questions, such as: Why do people vote? How can people build problem-solving coalitions? How can governments and organizations foster innovations? How can countries build ties that promote peace? What are the most fruitful strategies for disrupting arms or terrorist networks? This volume is designed as a foundational statement and resource. The contributions offer instruction on network theory and methods at both beginner and advanced levels, as well as an assessment of the state-of-the-discipline on a variety of applied network topics in politics. Through this dynamic collection of essays, The Oxford Handbook of Political Networks elucidates how the field is transforming and what that means for the future of political science. |
| statistics for political analysis: Statistical Power Analysis for the Behavioral Sciences Jacob Cohen, 2013-05-13 Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of qualifying dependent variables and; * expanded power and sample size tables for multiple regression/correlation. |
| statistics for political analysis: The Politics of Numbers William Alonso, Paul Starr, 1987-09-09 The Politics of Numbers is the first major study of the social and political forces behind the nation's statistics. In more than a dozen essays, its editors and authors look at the controversies and choices embodied in key decisions about how we count—in measuring the state of the economy, for example, or enumerating ethnic groups. They also examine the implications of an expanding system of official data collection, of new computer technology, and of the shift of information resources into the private sector. A Volume in the Russell Sage Foundation Census Series |
| statistics for political analysis: The Fundamentals of Political Science Research Paul M. Kellstedt, Guy D. Whitten, 2009 This textbook introduces the scientific study of politics, supplying students with the basic tools to be critical consumers and producers of scholarly research. |
| statistics for political analysis: Adventures in Social Research Earl R. Babbie, 2011 Click on the Supplements tab above for further details on the different versions of SPSS programs. |
| statistics for political analysis: Understanding Political Persuasion: Linguistic and Rhetorical Analysis Douglas Mark Ponton, 2020-04-02 This book builds on the consolidated research field of Political Discourse Analysis and attempts to provide an introduction suitable for adoption amongst a readership wishing to understand some of the principles underlying such research, and above all to appreciate how the tools of discourse analysis might be applied to actual texts. It summarises some of the work that has been done in this field by authorities such as Halliday, Fairclough, Wodak, Chilton, Van Dijk, Martin, Van Leeuwen and others to provide the would-be analyst with practical ideas for their own research. Naturally, this would not be the first time that such a handbook or introductory reference book has been proposed. Fairclough himself recently produced one; however, his work, simply entitled Political Discourse Analysis, inevitably includes theoretical insights from his own research. The beginning analyst can, at times, experience a sense of bewilderment at the mass of theoretical writing in linguistics, in the search for some practical, usable tools. I explain a variety of such tools, demonstrating their usefulness in application to the analysis of a number of political speeches, from different historical periods and diverse social contexts. The author’s hope is that would-be students of political rhetoric, of whatever level and from a variety of research areas, will be able to pick up this book and find tools and techniques that will assist them in actual work on texts. Naturally, it is also hoped that they will be inspired to follow up the suggestions for further reading which they will find in the bibliography. |
| statistics for political analysis: Inferential Network Analysis Skyler J. Cranmer, Bruce A. Desmarais, Jason W. Morgan, 2020-11-19 Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis. |
| statistics for political analysis: Politics Is for Power Eitan Hersh, 2020-06-30 A groundbreaking analysis of political hobbyism—treating politics like a spectator sport—and an urgent and timely call to arms for the many well-meaning, well-informed citizens who follow political news, but do not take political action. Do you consider yourself politically engaged? Probably, yes! But are you, really? The uncomfortable truth is that most of us have good intentions. We vote (sometimes) and occasionally sign a petition or attend a rally. But we mainly “engage” by consuming politics as if it’s entertainment or a hobby. We obsessively follow the news and complain about the opposition to our friends or spouse. We tweet and post and share. The hours we spend on politics are used mainly as pastime. Instead, political scientist and data analyst Eitan Hersh offers convincing evidence that we should be spending the same number of hours building political organizations, implementing a long-term vision for our local communities, and getting to know our neighbors, whose votes will be needed for solving hard problems. We could be accumulating power so that when there are opportunities to make a difference—to lobby, to advocate, to mobilize—we will be ready. Aided by cutting-edge social science as well as remarkable stories of ordinary citizens who got off their couches and took political power seriously, this book shows us how to channel our energy away from political hobbyism and toward empowering our values. In an age of political turmoil and as the 2020 election looms, Politics Is for Power is an inspiring, vital read that will make you hopeful for America’s democratic future. |
| statistics for political analysis: Political Analysis Matthew Loveless, 2023-04-05 Why let other people explain the world to you? From news reporting on elections or unfolding political crises to everyday advertising, you are confronted with statistics. Rather than being swayed by bad arguments and questionable correlations, this book introduces you to the most common and contemporary statistical methods so that you can better understand the world. It′s not about mindless number crunching or flashy techniques but about knowing when to use statistics as the best means to analyse a problem. Whether you want to answer: Who is most likely to turn out and vote at the next election? or What accounts for some political conflicts escalating to war? you’ll explore what can and can’t be done with statistics, and how to select the most appropriate statistical techniques and correctly interpret the results. Perhaps you simply want to understand enough to pass your statistics class and move on. Maybe you want to build your knowledge so that you are not excluded from research and debate. Or it could be the first step towards more advanced study. Whatever your goal, this book guides you through the journey, empowering you to confidently interact with statistics to make you a more formidable student, employee, and democratic citizen. |
| statistics for political analysis: The Data Detective Tim Harford, 2021-02-02 From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful. |
| statistics for political analysis: The Logic of Political Survival Bruce Bueno De Mesquita, Alastair Smith, Randolph M. Siverson, James D. Morrow, 2005-01-14 The authors of this ambitious book address a fundamental political question: why are leaders who produce peace and prosperity turned out of office while those who preside over corruption, war, and misery endure? Considering this political puzzle, they also answer the related economic question of why some countries experience successful economic development and others do not. The authors construct a provocative theory on the selection of leaders and present specific formal models from which their central claims can be deduced. They show how political leaders allocate resources and how institutions for selecting leaders create incentives for leaders to pursue good and bad public policy. They also extend the model to explain the consequences of war on political survival. Throughout the book, they provide illustrations from history, ranging from ancient Sparta to Vichy France, and test the model against statistics gathered from cross-national data. The authors explain the political intuition underlying their theory in nontechnical language, reserving formal proofs for chapter appendixes. They conclude by presenting policy prescriptions based on what has been demonstrated theoretically and empirically. |
| statistics for political analysis: Eichmann in Jerusalem Hannah Arendt, 2006-09-22 The controversial journalistic analysis of the mentality that fostered the Holocaust, from the author of The Origins of Totalitarianism Sparking a flurry of heated debate, Hannah Arendt’s authoritative and stunning report on the trial of German Nazi leader Adolf Eichmann first appeared as a series of articles in The New Yorker in 1963. This revised edition includes material that came to light after the trial, as well as Arendt’s postscript directly addressing the controversy that arose over her account. A major journalistic triumph by an intellectual of singular influence, Eichmann in Jerusalem is as shocking as it is informative—an unflinching look at one of the most unsettling (and unsettled) issues of the twentieth century. |
| statistics for political analysis: An Introduction to Survey Research and Data Analysis Herbert F. Weisberg, Bruce D. Bowen, 1977 Survey design; What is survey research? Sampling procedures; Questionn. |
| statistics for political analysis: The American Political Landscape Byron E. Shafer, Richard H. Spady, 2014-02-25 Social scientists and campaign strategists approach voting behavior from opposite poles. Reconciling these rival camps through a merger of precise statistics and hard-won election experience, The American Political Landscape presents a full-scale analysis of U.S. electoral politics over the past quarter-century. Byron Shafer and Richard Spady explain how factors not usually considered hard data, such as latent attitudes and personal preferences, interact to produce an indisputably solid result: the final tally of votes. Pundits and pollsters usually boil down U.S. elections to a stark choice between Democrat and Republican. Shafer and Spady explore the significance of a third possibility: not voting at all. Voters can and do form coalitions based on specific issues, so that simple party identification does not determine voter turnout or ballot choices. Deploying a new method that quantifiably maps the distribution of political attitudes in the voting population, the authors describe an American electoral landscape in flux during the period from 1984 to 2008. The old order, organized by economic values, ceded ground to a new one in which cultural and economic values enjoy equal prominence. This realignment yielded election outcomes that contradicted the prevailing wisdom about the importance of ideological centrism. Moderates have fared badly in recent contests as Republican and Democratic blocs have drifted further apart. Shafer and Spady find that persisting links between social backgrounds and political values tend to empty the ideological center while increasing the clout of the ideologically committed. |
| statistics for political analysis: Understanding Political Science Statistics using Stata Ellen Seljan, 2017-07-05 This manual walks students through the procedures for analysis in Stata and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political Science Statistics: Observations and Expectations in Political Analysis, by Peter Galderisi, making it easy to use alongside the book in a course or as a stand-alone guide to using Stata. Seljan demonstrates how to run commands in Stata for different kinds of research questions and shows the results of the analyses, using lots of annotated screenshots from Stata version 12 (but compatible with all versions, including Stata Small). Students will be guided through standard processes replete with examples and exercises to ready them for future work in political science research. The diverse group of data sets provided include subsamples of both the 2008 and 2012 American National Election Studies, a Eurobarometer survey, single year and longitudinal congressional district files, the 2012 Comparative Congressional Election Study, and a comparative, crossnational country file. Versions with reduced case numbers and variables are also included that are compatible with Stata Small.This manual (and a parallel SPSS manual) are available as stand-alone products or packaged with the textbook Understanding Political Science Statistics. |
| statistics for political analysis: Doing Research in Political Science Paul Pennings, Hans Keman, Jan Kleinnijenhuis, 2006 This is an immensely helpful book for students starting their own research... an excellent introduction to the comparative method giving an authoritative overview over the research process - Klaus Armingeon, University of Bern Doing Research in Political Science is the book for mastering the comparative method in all the social sciences - Jan-Erik Lane, University of Geneva This book has established itself as a concise and well-readable text on comparative methods and statistics in political science I...strongly recommend it. - Dirk Berg-Schlosser, Philipps-University Marburg This thoroughly revised edition of the popular textbook offers an accessible but comprehensive introduction to comparative research methods and statistics for students of political science. Clearly organized around three parts, the text introduces the main theories and methodologies used in the discipline. Part 1 frames the comparative approach within the methodological framework of the political and social sciences. Part 2 introduces basic descriptive and inferential statistical methods as well as more advanced multivariate methods used in quantitative political analysis. Part 3 applies the methods and techniques of Parts 1 & 2 to research questions drawn from contemporary themes and issues in political science. Incorporating practice exercises, ideas for further reading and summary questions throughout, Doing Research in Political Science provides an invaluable step-by-step guide for students and researchers in political science, comparative politics and empirical political analysis. |
| statistics for political analysis: Envisioning Information Edward R. Tufte, 1990 Escaoping flatland. Micro/Macro readings. Layering and separation. Small multiples. Color and information. Narratives of Space and time. Epilogue. |
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May 30, 2025 · Annual car sales worldwide 2010-2023, with a forecast for 2024; Monthly container freight rate index worldwide 2023-2024; …
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May 15, 2025 · Detailed statistics U.S. top five imported products 2023, by type of product and country of origin Share of Americans who approve of …
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