Search Results for "statistics-for-political-analysis"

Statistics for Political Analysis

Statistics for Political Analysis

Understanding the Numbers

  • Author: Theresa Marchant-Shapiro
  • Publisher: CQ Press
  • ISBN: 1483323684
  • Category: Political Science
  • Page: 496
  • View: 1657
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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.

Statistics for Political Analysis / IBM SPSS Statistics Base, Version 22.0

Statistics for Political Analysis / IBM SPSS Statistics Base, Version 22.0

Understanding the Numbers

  • Author: Theresa Marchant-Shapiro
  • Publisher: N.A
  • ISBN: 9781483377261
  • Category: Political Science
  • Page: 475
  • View: 8961
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Statistics for Political Analysis

Statistics for Political Analysis

Understanding the Numbers

  • Author: Theresa Marchant-Shapiro
  • Publisher: CQ Press
  • ISBN: 1483312488
  • Category: Political Science
  • Page: 496
  • View: 1114
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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.

Political Analysis Using R

Political Analysis Using R

  • Author: James E. Monogan III
  • Publisher: Springer
  • ISBN: 3319234463
  • Category: Social Science
  • Page: 242
  • View: 9701
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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.

Real Stats

Real Stats

Using Econometrics for Political Science and Public Policy

  • Author: Michael Bailey
  • Publisher: N.A
  • ISBN: 9780199981946
  • Category:
  • Page: 624
  • View: 4069
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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.

Understanding Political Science Statistics

Understanding Political Science Statistics

Observations and Expectations in Political Analysis

  • Author: Peter Galderisi
  • Publisher: Routledge
  • ISBN: 1136819509
  • Category: Political Science
  • Page: 364
  • View: 2345
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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.

An R Companion to Political Analysis

An R Companion to Political Analysis

  • Author: Philip H. Pollock III,Barry C. Edwards
  • Publisher: CQ Press
  • ISBN: 1506368832
  • Category: Political Science
  • Page: 248
  • View: 5474
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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 by Philip H. Pollock III and Barry C. Edwards 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.

Data analysis for politics and policy

Data analysis for politics and policy

  • Author: Edward R. Tufte
  • Publisher: Prentice Hall
  • ISBN: N.A
  • Category: Political Science
  • Page: 179
  • View: 3040
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Introduction to data analysis; Predictions and projections: some issues of research design; Two-variable linear regression; Multiple regression.

Empirical Political Analysis

Empirical Political Analysis

Pearson New International Edition CourseSmart eTextbook

  • Author: Craig Leonard Brians
  • Publisher: Routledge
  • ISBN: 1315510200
  • Category: Education
  • Page: 446
  • View: 1367
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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.

A Mathematics Course for Political and Social Research

A Mathematics Course for Political and Social Research

  • Author: Will H. Moore,David A. Siegel
  • Publisher: Princeton University Press
  • ISBN: 140084861X
  • Category: Political Science
  • Page: 456
  • View: 341
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Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a semester-long or yearlong course to acquire the necessary skills. Available textbooks are written for mathematics or economics majors, and fail to convey to students of political science and sociology the reasons for learning often-abstract mathematical concepts. A Mathematics Course for Political and Social Research fills this gap, providing both a primer for math novices in the social sciences and a handy reference for seasoned researchers. The book begins with the fundamental building blocks of mathematics and basic algebra, then goes on to cover essential subjects such as calculus in one and more than one variable, including optimization, constrained optimization, and implicit functions; linear algebra, including Markov chains and eigenvectors; and probability. It describes the intermediate steps most other textbooks leave out, features numerous exercises throughout, and grounds all concepts by illustrating their use and importance in political science and sociology. Uniquely designed and ideal for students and researchers in political science and sociology Uses practical examples from political science and sociology Features "Why Do I Care?" sections that explain why concepts are useful Includes numerous exercises Complete online solutions manual (available only to professors, email david.siegel at duke.edu, subject line "Solution Set") Selected solutions available online to students

Research Methods in Politics

Research Methods in Politics

  • Author: Peter Burnham,Karin Gilland Lutz,Wyn Grant,Zig Layton-Henry
  • Publisher: Macmillan International Higher Education
  • ISBN: 0230365566
  • Category: Social Science
  • Page: 384
  • View: 1766
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The second edition of this popular text provides a comprehensive introduction to the main research methods employed in the study of politics and assessment of their strengths and limitations and of ethical issues in research. It has been revised and updated throughout, and a new chapter considers the relationship between research and policy.

Poor Numbers

Poor Numbers

How We Are Misled by African Development Statistics and What to Do about It

  • Author: Morten Jerven
  • Publisher: Cornell University Press
  • ISBN: 0801467616
  • Category: Political Science
  • Page: 176
  • View: 8726
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One of the most urgent challenges in African economic development is to devise a strategy for improving statistical capacity. Reliable statistics, including estimates of economic growth rates and per-capita income, are basic to the operation of governments in developing countries and vital to nongovernmental organizations and other entities that provide financial aid to them. Rich countries and international financial institutions such as the World Bank allocate their development resources on the basis of such data. The paucity of accurate statistics is not merely a technical problem; it has a massive impact on the welfare of citizens in developing countries. Where do these statistics originate? How accurate are they? Poor Numbers is the first analysis of the production and use of African economic development statistics. Morten Jerven's research shows how the statistical capacities of sub-Saharan African economies have fallen into disarray. The numbers substantially misstate the actual state of affairs. As a result, scarce resources are misapplied. Development policy does not deliver the benefits expected. Policymakers' attempts to improve the lot of the citizenry are frustrated. Donors have no accurate sense of the impact of the aid they supply. Jerven's findings from sub-Saharan Africa have far-reaching implications for aid and development policy. As Jerven notes, the current catchphrase in the development community is "evidence-based policy," and scholars are applying increasingly sophisticated econometric methods-but no statistical techniques can substitute for partial and unreliable data.

Essential Mathematics for Political and Social Research

Essential Mathematics for Political and Social Research

  • Author: Jeff Gill
  • Publisher: Cambridge University Press
  • ISBN: 0521834260
  • Category: Mathematics
  • Page: 448
  • View: 4506
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This 2006 book addresses the comprehensive introduction to the mathematical principles needed by modern social scientists.

Doing Research in Political Science

Doing Research in Political Science

An Introduction to Comparative Methods and Statistics

  • Author: Paul Pennings,Hans Keman,Jan Kleinnijenhuis
  • Publisher: SAGE
  • ISBN: 1412903769
  • Category: Political Science
  • Page: 324
  • View: 1650
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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.

Think Stats

Think Stats

  • Author: Allen B. Downey
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1491907371
  • Category: Computers
  • Page: 226
  • View: 630
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If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Understanding Statistical Analysis and Modeling

Understanding Statistical Analysis and Modeling

  • Author: Robert Bruhl
  • Publisher: SAGE Publications
  • ISBN: 1506317375
  • Category: Social Science
  • Page: 440
  • View: 4934
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Understanding Statistical Analysis and Modeling is for readers in the social, behavioral, or managerial sciences mathematics to understand the logic of statistical analysis. Robert Bruhl covers all the basic methods of descriptive and inferential statistics in an accessible manner by way of asking and answering research questions. Concepts are discussed in the context of a specific research project and the book includes probability theory as the basis for understanding statistical inference. Instructions on using SPSS® are included so that readers focus on interpreting statistical analysis rather than calculations. Tables are used, rather than formulas, to describe the various calculations involved with statistical analysis and the exercises in the book are intended to encourage students to formulate and execute their own empirical investigations.

Damned Lies and Statistics

Damned Lies and Statistics

Untangling Numbers from the Media, Politicians, and Activists

  • Author: Joel Best
  • Publisher: Univ of California Press
  • ISBN: 0520953517
  • Category: Social Science
  • Page: 224
  • View: 8405
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Here, by popular demand, is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. Since its publication ten years ago, Damned Lies and Statistics has emerged as the go-to handbook for spotting bad statistics and learning to think critically about these influential numbers.

Understanding Political Science Statistics using Stata

Understanding Political Science Statistics using Stata

A Manual with Exercises

  • Author: Ellen Seljan
  • Publisher: Routledge
  • ISBN: 1351538039
  • Category: Political Science
  • Page: 184
  • View: 3892
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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.

The World Factbook

The World Factbook

  • Author: Central Intelligence Agency
  • Publisher: Masterlab
  • ISBN: 8379912136
  • Category: Reference
  • Page: 3100
  • View: 6807
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The World Factbook provides information on the history, people, government, economy, geography, communications, transportation, military, and transnational issues for 267 world entities. The World Factbook is prepared by the Central Intelligence Agency. Comprehensive guide full of facts, maps, flags, and detailed information. A must for travellers, businessmen, politicians, and all who wants to know more about our fascinating world. -- We share these facts with the people of all nations in the belief that knowledge of the truth underpins the functioning of free societies (From official webpage). Tags: world, guide, facts, almanach

Statistics for People Who (Think They) Hate Statistics

Statistics for People Who (Think They) Hate Statistics

Excel 2010 Edition

  • Author: Neil J. Salkind
  • Publisher: SAGE
  • ISBN: 1452225230
  • Category: Mathematics
  • Page: 458
  • View: 3779
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The bestselling text Statistics for People Who (Think They) Hate Statistics is the basis for this completely adapted Excel 2010 version. Author Neil J. Salkind presents an often intimidating and difficult subject in a way that is informative, personable, and clear. Researchers and students who find themselves uncomfortable with the analysis portion of their work will appreciate this book’s unhurried pace and thorough, friendly presentation. Salkind begins the Excel version with a complete introduction to the software, and shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques. He then walks students through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Pedagogical features include sidebars offering additional technical information about the topic and set-off points that reinforce major themes. Finally, questions to chapter exercises, a complete glossary, and extensive Excel functionality are located at the back of the book. This Third Edition is updated for use with Excel 2010.