Political Analysis Using R

Author: James E. Monogan III
Publisher: Springer
ISBN: 3319234463
Format: PDF, Mobi
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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.

A Stata Companion to Political Analysis

Author: Philip H. Pollock III
Publisher: CQ Press
ISBN: 1483354156
Format: PDF, Kindle
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With Philip Pollock's Third 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.

The Fundamentals of Political Science Research

Author: Paul M. Kellstedt
Publisher: Cambridge University Press
ISBN: 1107245273
Format: PDF
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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. Professors Kellstedt and Whitten present an integrated approach to research design and empirical analyses in which researchers can develop and test causal theories. The authors 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 second edition refines discussions from the first edition, with a new chapter on how to write an original research project. The second edition also contains an additional forty exercises and adds definitions for terms discussed in each chapter.

Data analysis for politics and policy

Author: Edward R. Tufte
Publisher: Prentice Hall
ISBN:
Format: PDF
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Introduction to data analysis; Predictions and projections: some issues of research design; Two-variable linear regression; Multiple regression.

Unconventional Wisdom

Author: Karen M. Kaufmann
Publisher: Oxford University Press
ISBN: 9780199710515
Format: PDF, ePub, Mobi
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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.

Complex Surveys

Author: Thomas Lumley
Publisher: John Wiley & Sons
ISBN: 111821093X
Format: PDF, Kindle
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A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.

Bayesian Methods

Author: Jeff Gill
Publisher: CRC Press
ISBN: 1439862494
Format: PDF, ePub
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An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach. New to the Third Edition A chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James–Stein estimation A chapter on the practical implementation of MCMC methods using the BUGS software Greatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigm Many new applications from a variety of social science disciplines Double the number of exercises, with 20 now in each chapter Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from R This bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.

Public Policy

Author: Michael E. Kraft
Publisher: CQ Press
ISBN: 1506358179
Format: PDF, ePub, Mobi
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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.

R for SAS and SPSS Users

Author: Robert A. Muenchen
Publisher: Springer Science & Business Media
ISBN: 1461406854
Format: PDF, Mobi
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R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.

Statistics for Political Analysis

Author: Theresa Marchant-Shapiro
Publisher: CQ Press
ISBN: 1483323684
Format: PDF, ePub, Mobi
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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.