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: 9702
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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: 5402
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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: 5087
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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.

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: 1736
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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.

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: 1222
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Introduction to data analysis; Predictions and projections: some issues of research design; Two-variable linear regression; Multiple regression.

Political Analysis Using R

Political Analysis Using R

  • Author: James E. Monogan III
  • Publisher: Springer
  • ISBN: 3319234463
  • Category: Social Science
  • Page: 242
  • View: 2625
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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

A Stata® Companion to Political Analysis

  • Author: Philip H. Pollock III
  • Publisher: CQ Press
  • ISBN: 1483370631
  • Category: Political Science
  • Page: 216
  • View: 5988
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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.

Real Stats

Real Stats

Using Econometrics for Political Science and Public Policy

  • Author: Michael Bailey
  • Publisher: N.A
  • ISBN: 9780199981946
  • Category:
  • Page: 624
  • View: 4564
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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.

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: 606
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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.

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: 1446226905
  • Category: Political Science
  • Page: 336
  • View: 1662
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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.

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: 7705
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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

Understanding Statistical Analysis and Modeling

Understanding Statistical Analysis and Modeling

  • Author: Robert Bruhl
  • Publisher: SAGE Publications
  • ISBN: 1506317375
  • Category: Social Science
  • Page: 440
  • View: 6281
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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.

Statistics for Research

Statistics for Research

With a Guide to SPSS

  • Author: George Argyrous
  • Publisher: SAGE
  • ISBN: 9781446245163
  • Category: Reference
  • Page: 608
  • View: 1006
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This fully updated edition of Statistics for Research explains statistical concepts in a straight-forward and accessible way using practical examples from a variety of disciplines. If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you! The new edition features: - Clear explanations of all the main techniques of statistical analysis - A brand new student-friendly, easy-to-navigate design - Even more step-by-step screenshots of SPSS commands and outputs - An extensive glossary of terms, ideal for those new to statistics - End of chapter exercises to help you put your learning into practice - A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes. This is the ideal textbook for any course in statistical methods across the health and social sciences and a perfect starter book for students, researchers and professionals alike.

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: 4183
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This 2006 book addresses the comprehensive introduction to the mathematical principles needed by modern social scientists.

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: 2771
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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.

Fundamental Statistics for the Social and Behavioral Sciences

Fundamental Statistics for the Social and Behavioral Sciences

  • Author: Howard T. Tokunaga
  • Publisher: SAGE Publications
  • ISBN: 148331880X
  • Category: Social Science
  • Page: 816
  • View: 9926
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This thematically-based textbook places statistics within the research process, illustrating how statistics are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret the results of statistical analyses in light of a study’s research hypothesis and to communicate their results and interpretations to a broader audience. Featuring accessible writing and well-integrated research examples, Fundamental Statistics for the Social and Behavioral Sciences by Howard T. Tokunaga is designed to help readers develop an appreciation of how statistics are applied to topics and questions of interest, gain an appreciation of issues related to the use of statistics, and enhance their understanding of the research process and the role of statistics within it.

How to Lie with Statistics

How to Lie with Statistics

  • Author: Darrell Huff
  • Publisher: W. W. Norton & Company
  • ISBN: 9780393070873
  • Category: Mathematics
  • Page: 144
  • View: 2535
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Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.

Unifying Political Methodology

Unifying Political Methodology

The Likelihood Theory of Statistical Inference

  • Author: Gary King
  • Publisher: University of Michigan Press
  • ISBN: 9780472085545
  • Category: Philosophy
  • Page: 274
  • View: 1287
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Argues that likelihood theory is a unifying approach to statistical modeling in political science

Statistical Analysis for Public Administration

Statistical Analysis for Public Administration

  • Author: Lawrence L. Giventer
  • Publisher: Jones & Bartlett Publishers
  • ISBN: 1449667791
  • Category: Business & Economics
  • Page: 462
  • View: 7601
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The latest text for statistical/quantitative analysis and research methods coursework, the Second Edition of Statistical Analysis for Public Administration explains how to use statistical methods to help understand and respond to public problems. Organized around a series of unique reference tables, this book simulates the problems public administrators routinely encounter and diagnose. The tables guide students through applicable statistical methods for solving problems, teaching both what to do, and how to do it. As a result, students will learn to recognize where quantitative methods are useful, and apply the skills needed to solve real-world problems during their professional careers in the public sector. Also includes homework problems for each chapter with extensive answers, extra downloadable data sets, and practical exercises to reinforce learning.

Statistics for Research in Psychology

Statistics for Research in Psychology

A Modern Approach Using Estimation

  • Author: Frederick (Rick) Norman Gurnsey,Rick Gurnsey
  • Publisher: SAGE Publications
  • ISBN: 1506305172
  • Category: Psychology
  • Page: 720
  • View: 5520
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Statistics for Research in Psychology by Rick Gurnsey offers an intuitive approach to statistics based on estimation for interpreting research in psychology. This innovative text covers topic areas in a traditional sequence but gently shifts the focus to an alternative approach using estimation, emphasizing confidence intervals, effect sizes, and practical significance, with the advantages naturally emerging in the process. Frequent opportunities for practice and step-by-step instructions for using Excel, SPSS, and R in appendices will help readers come away with a better understanding of statistics that will allow them to more effectively evaluate published research and undertake meaningful research of their own.