Political Analysis Using R

Author: James E. Monogan III

Publisher: Springer

ISBN: 3319234463

Category: Social Science

Page: 242

View: 4081

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.
Posted in Social Science

Political Analysis Using R

Author: James E. Monogan III

Publisher: Springer

ISBN: 9783319234458

Category: Social Science

Page: 242

View: 850

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.
Posted in Social Science

A Stata® Companion to Political Analysis

Author: Philip H. Pollock III,Barry C. Edwards

Publisher: CQ Press

ISBN: 1506379680

Category: Political Science

Page: 288

View: 1953

Popular for its speed, flexibility, and attractive graphics, Stata is a powerful tool for political science students. With Philip Pollock's Fourth Edition of A Stata® Companion to Political Analysis, students quickly learn Stata via step-by-step instruction, more than 50 exercises, customized datasets, annotated screen shots, boxes that highlight Stata's special capabilities, and guidance on using Stata to read raw data. This attractive and value-priced workbook, an ideal complement to Pollock’s Essentials of Political Analysis, is a must-have for any political science student working with Stata.
Posted in Political Science

The Fundamentals of Political Science Research

Author: Paul M. Kellstedt,Guy D. Whitten

Publisher: Cambridge University Press

ISBN: 1108645186

Category: Political Science

Page: N.A

View: 826

The third edition of the best-selling The Fundamentals of Political Science Research provides an introduction to the scientific study of politics. It offers the basic tools necessary for readers to become both critical consumers and beginning producers of scientific research on politics. The authors present an integrated approach to research design and empirical analyses whereby researchers can develop and test causal theories. They use examples from political science research that students will find interesting and inspiring, and that will help them understand key concepts. The book makes technical material accessible to students who might otherwise be intimidated by mathematical examples. This revised third edition features new 'Your Turn' boxes meant to engage students. The edition also has new sections added throughout the book to enhance the content's clarity and breadth of coverage.
Posted in Political Science

Applied Spatial Data Analysis with R

Author: Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio

Publisher: Springer Science & Business Media

ISBN: 1461476186

Category: Medical

Page: 405

View: 5223

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.
Posted in Medical

Public Policy

Politics, Analysis, and Alternatives

Author: Michael E. Kraft,Scott R. Furlong

Publisher: CQ Press

ISBN: 1506358179

Category: Political Science

Page: 584

View: 4942

In Public Policy: Politics, Analysis, and Alternatives, students come to understand how and why policy analysis is used to assess policy alternatives. To encourage critical and creative thinking on issues ranging from the federal deficit to health care reform to climate change, authors Michael Kraft and Scott Furlong introduce and fully integrate an evaluative approach to policy. The Sixth Edition of Public Policy offers a fully revised, concise review of institutions, policy actors, and major theoretical models as well as a discussion of the nature of policy analysis and its practice. Both the exposition and data have been updated to reflect major policy controversies and developments through the end of 2016, including new priorities of the Donald Trump administration.
Posted in Political Science

Unconventional Wisdom

Facts and Myths About American Voters

Author: Karen M. Kaufmann,John R. Petrocik,Daron R. Shaw

Publisher: Oxford University Press

ISBN: 0199887861

Category: Political Science

Page: 272

View: 595

Late deciders go for the challenger; turnout helps the Democrats; the gender gap results from a surge in Democratic preference among women--these and many other myths are standard fare among average citizens, political pundits, and even some academics. But are these conventional wisdoms--familiar to anyone who watches Sunday morning talk shows--really valid? Unconventional Wisdom offers a novel yet highly accessible synthesis of what we know about American voters and elections. It not only provides an integrated overview of the central themes in American politics--parties, polarization, turnout, partisan bias, campaign effects, swing voters, the gender gap, and the youth vote--it upends many of our fundamental preconceptions. Most importantly, it shows that the American electorate is much more stable than we have been led to believe, and that the voting patterns we see today have deep roots in our history. Throughout, the book provides comprehensive information on voting patterns; illuminates (and corrects) popular myths about voters and elections; and details the empirical foundations of conventional wisdoms that many understand poorly or not at all. Written by three experts on American politics, Unconventional Wisdom serves as both a standard reference and a concise overview of the subject. Both informative and witty, the book is likely to become a standard work in the field, essential reading for anyone interested in American politics.
Posted in Political Science

The Craft of Political Analysis for Diplomats

Author: Raymond F. Smith

Publisher: Potomac Books, Inc.

ISBN: 1597977306

Category: History

Page: 174

View: 6223

Until the recent unauthorized release of thousands of classified State Department cables, public attention was rarely drawn to the frequently outstanding political analysis done by American diplomats abroad. The existing literature on diplomacy has heretofore been limited to memoirs of former diplomats and analyses of international affairs by diplomats, academics, and think tanks. The Craft of Political Analysis offers a fresh approach, one that provides a context for interpreting this embassy reporting and a guide to understanding the work that went on behind the scenes to produce it. Author Raymond F. Smith combines a practitioner's personal view of what is required to do good diplomatic political analysis with his understanding of the social conflict and change that informed his work for the State Department. Smith clearly explains everything the Foreign Service candidate or professional, as well as the interested layman, needs to know about crafting political analysis, including how to write for the analyst's intended audience, how to make best use of the intellectual and analytical tools of the trade, what happens when the analyst's views differ from government policy, and why political analysis risks becoming irrelevant, even though it is still urgently needed. In addition, The Craft of Political Analysis for Diplomats features two case studies using legally declassified cables not included in the Wikileaks release. The first is built around four highly restricted Embassy Moscow cables on the collapse of the Soviet Union; the second includes two cables on the Arab-Israeli conflict that received the State Department's highest award for political analysis. Selected for the Diplomats and Diplomacy Series of the Association for Diplomatic Studies and Training (ADST) and DACOR, an organization of foreign affairs professionals.
Posted in History

Interpreting and Using Regression

Author: Christopher H. Achen

Publisher: SAGE Publications

ISBN: 145221011X

Category: Social Science

Page: 88

View: 5612

Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the abstract, unrealistic treatment given in previous texts.
Posted in Social Science

Statistics for Political Analysis

Understanding the Numbers

Author: Theresa Marchant-Shapiro

Publisher: CQ Press

ISBN: 1483323684

Category: Political Science

Page: 496

View: 8656

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.
Posted in Political Science

Qualitative Comparative Analysis with R

A User’s Guide

Author: Alrik Thiem,Adrian Dusa

Publisher: Springer Science & Business Media

ISBN: 1461445841

Category: Political Science

Page: 99

View: 7204

Social science theory often builds on sets and their relations. Correlation-based methods of scientific enquiry, however, use linear algebra and are unsuited to analyzing set relations. The development of Qualitative Comparative Analysis (QCA) by Charles Ragin has given social scientists a formal tool for identifying set-theoretic connections based on Boolean algebra. As a result, interest in this method has markedly risen among social scientists in recent years. This book offers the first complete introduction on how to perform QCA in the R software environment for statistical computing and graphics with the QCA package. Developed as a comprehensive solution, QCA provides an unprecedented scope of functionality for analyzing crisp, multi-value and fuzzy sets. The reader is not required to have knowledge of R, but the book assumes an understanding of the fundamentals of QCA. Using examples from published work, the authors demonstrate how to make the most of QCA’s wide-ranging capabilities for the reader’s own purposes. Although mainly written for political scientists, this book is also of interest to scholars from other disciplines in the social sciences such as sociology, business, management, organization, anthropology, education and health.
Posted in Political Science

An Introduction to R for Spatial Analysis and Mapping

Author: Chris Brunsdon,Lex Comber

Publisher: SAGE

ISBN: 1473911192

Category: Social Science

Page: 360

View: 870

"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using 'out of the box' software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical 'how to' guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses." - Richard Harris, Professor of Quantitative Social Science, University of Bristol R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography’ students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical information for researchers collecting and using data with location attached, largely through increased GPS functionality. Brunsdon and Comber take readers from ‘zero to hero’ in spatial analysis and mapping through functions they have developed and compiled into R packages. This enables practical R applications in GIS, spatial analyses, spatial statistics, mapping, and web-scraping. Each chapter includes: Example data and commands for exploring it Scripts and coding to exemplify specific functionality Advice for developing greater understanding - through functions such as locator(), View(), and alternative coding to achieve the same ends Self-contained exercises for students to work through Embedded code within the descriptive text. This is a definitive 'how to' that takes students - of any discipline - from coding to actual applications and uses of R.
Posted in Social Science

Real Stats

Using Econometrics for Political Science and Public Policy

Author: Michael Bailey

Publisher: N.A

ISBN: 9780199981946

Category:

Page: 624

View: 3055

Real Stats offers an engaging and practical introduction to statistical analysis for upper-level undergraduates and first-year graduate students in political science, public policy, and law. Grounded in contemporary understandings of causal inferences, the text invites students to see how econometric tools can help answer important and interesting questions. This emphasis on practical applications, combined with a lively and conversational narrative, provides students with a solid foundation in the analytical tools they will use throughout their academic and professional careers.
Posted in

Statistical Modeling and Inference for Social Science

Author: Sean Gailmard

Publisher: Cambridge University Press

ISBN: 1107003148

Category: Business & Economics

Page: 388

View: 7903

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students gain the ability to create, read and critique statistical applications in their fields of interest.
Posted in Business & Economics

The R Book

Author: Michael J. Crawley

Publisher: John Wiley & Sons

ISBN: 1118448960

Category: Mathematics

Page: 1080

View: 497

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008) ‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book…’ (Professional Pensions, July 2007)
Posted in Mathematics

Behavioral Research Data Analysis with R

Author: Yuelin Li,Jonathan Baron

Publisher: Springer Science & Business Media

ISBN: 9781461412380

Category: Social Science

Page: 245

View: 308

This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. The book will also help beginners learn more about statistics and behavioral research. These are statistical techniques used by psychologists who do research on human subjects, but of course they are also relevant to researchers in others fields that do similar kinds of research. The authors emphasize practical data analytic skills so that they can be quickly incorporated into readers’ own research.
Posted in Social Science

Statistics for Psychology Using R

Author: Vivek M. Belhekar

Publisher: Sage Publications Pvt. Limited

ISBN: 9789385985003

Category:

Page: 432

View: 718

A unique textbook introducing and demonstrating the use of R in psychology. Statistics for Psychology Using R comprehensively covers standard statistical methods along with advanced topics such as multivariate techniques, factor analysis, and multiple regression widely used in the field of psychology and other social sciences. Its innovative structure and pedagogical approach coupled with numerous worked-out examples and self-assessment tests make it a user-friendly and easy-to-understand companion for students and scholars with limited background in statistics. The standout feature of this textbook is that it demonstrates the application of R--a free, flexible, and dynamically changing software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences.
Posted in

Practical Propensity Score Methods Using R

Author: Walter Leite

Publisher: SAGE Publications

ISBN: 1483313395

Category: Social Science

Page: 224

View: 8263

Practical Propensity Score Methods Using R by Walter Leite is a practical book that uses a step-by-step analysis of realistic examples to help students understand the theory and code for implementing propensity score analysis with the R statistical language. With a comparison of both well-established and cutting-edge propensity score methods, the text highlights where solid guidelines exist to support best practices and where there is scarcity of research. Readers will find that this scaffolded approach to R and the book’s free online resources help them apply the text’s concepts to the analysis of their own data.
Posted in Social Science

Analyzing Spatial Models of Choice and Judgment with R

Author: David A. Armstrong, II,Ryan Bakker,Royce Carroll,Christopher Hare,Keith T. Poole,Howard Rosenthal

Publisher: CRC Press

ISBN: 1466517166

Category: Mathematics

Page: 356

View: 5280

Modern Methods for Evaluating Your Social Science Data With recent advances in computing power and the widespread availability of political choice data, such as legislative roll call and public opinion survey data, the empirical estimation of spatial models has never been easier or more popular. Analyzing Spatial Models of Choice and Judgment with R demonstrates how to estimate and interpret spatial models using a variety of methods with the popular, open-source programming language R. Requiring basic knowledge of R, the book enables researchers to apply the methods to their own data. Also suitable for expert methodologists, it presents the latest methods for modeling the distances between points—not the locations of the points themselves. This distinction has important implications for understanding scaling results, particularly how uncertainty spreads throughout the entire point configuration and how results are identified. In each chapter, the authors explain the basic theory behind the spatial model, then illustrate the estimation techniques and explore their historical development, and finally discuss the advantages and limitations of the methods. They also demonstrate step by step how to implement each method using R with actual datasets. The R code and datasets are available on the book’s website.
Posted in Mathematics

Advances in Social Science Research Using R

Author: Hrishikesh D. Vinod

Publisher: Springer Science & Business Media

ISBN: 1441917640

Category: Business & Economics

Page: 205

View: 4258

Quantitative social science research has been expanding due to the ava- ability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills ?nd R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one ?eld can be extended and used in many ?elds. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at the Lincoln Center campus of Fordham University, June 18–19, 2009. This book contains selected papers presented at the conference, representing the “Proceedings” of the conference.
Posted in Business & Economics