Search Results for "a-mathematics-course-for-political-and-social-research"

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: 2381
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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

A Mathematics Course for Political and Social Research

A Mathematics Course for Political and Social Research

  • Author: Will H. Moore,David A. Siegel
  • Publisher: N.A
  • ISBN: 9780691159959
  • Category: Mathematics
  • Page: 430
  • View: 4163
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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

A Mathematics Course for Political and Social Research

A Mathematics Course for Political and Social Research

  • Author: Will H. Moore,David A. Siegel
  • Publisher: N.A
  • ISBN: 9780691159171
  • Category: Mathematics
  • Page: 430
  • View: 9480
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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

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: 7896
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This 2006 book addresses the comprehensive introduction to the mathematical principles needed by modern social scientists.

Mathematics for Social Scientists

Mathematics for Social Scientists

  • Author: Jonathan Kropko
  • Publisher: SAGE Publications
  • ISBN: 1506304222
  • Category: Social Science
  • Page: 408
  • View: 1196
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Written for social science students who will be working with or conducting research, Mathematics for Social Scientists offers a non-intimidating approach to learning or reviewing math skills essential in quantitative research methods. The text is designed to build students’ confidence by presenting material in a conversational tone and using a wealth of clear and applied examples. Author Jonathan Kropko argues that mastering these concepts will break students’ reliance on using basic models in statistical software, allowing them to engage with research data beyond simple software calculations.

Designing Social Inquiry

Designing Social Inquiry

Scientific Inference in Qualitative Research

  • Author: Gary King,Robert O. Keohane,Sidney Verba
  • Publisher: Princeton University Press
  • ISBN: 9781400821211
  • Category: Social Science
  • Page: 264
  • View: 5693
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While heated arguments between practitioners of qualitative and quantitative research have begun to test the very integrity of the social sciences, Gary King, Robert Keohane, and Sidney Verba have produced a farsighted and timely book that promises to sharpen and strengthen a wide range of research performed in this field. These leading scholars, each representing diverse academic traditions, have developed a unified approach to valid descriptive and causal inference in qualitative research, where numerical measurement is either impossible or undesirable. Their book demonstrates that the same logic of inference underlies both good quantitative and good qualitative research designs, and their approach applies equally to each. Providing precepts intended to stimulate and discipline thought, the authors explore issues related to framing research questions, measuring the accuracy of data and uncertainty of empirical inferences, discovering causal effects, and generally improving qualitative research. Among the specific topics they address are interpretation and inference, comparative case studies, constructing causal theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. Mathematical notation is occasionally used to clarify concepts, but no prior knowledge of mathematics or statistics is assumed. The unified logic of inference that this book explicates will be enormously useful to qualitative researchers of all traditions and substantive fields.

Quantitative Social Science

Quantitative Social Science

An Introduction

  • Author: Kosuke Imai
  • Publisher: Princeton University Press
  • ISBN: 1400885256
  • Category: Social Science
  • Page: 432
  • View: 2775
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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 economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty 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 the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty 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

Mathematics and Politics

Mathematics and Politics

Strategy, Voting, Power, and Proof

  • Author: Alan D. Taylor,Allison M. Pacelli
  • Publisher: Springer Science & Business Media
  • ISBN: 0387776435
  • Category: Social Science
  • Page: 364
  • View: 2552
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As a text for an undergraduate mathematics course for nonmajors, Mathematics and Politics requires no prerequisites in either area while the underlying philosophy involves minimizing algebraic computations and focusing instead on some conceptual aspects of mathematics in the context of important real-world questions in political science. Five major topics are covered including a model of escalation, game theoretic models of international conflict, yes-no voting systems, political power, and social choice. Each topic is discussed in an introductory chapter and revisited in more depth in a later chapter. This new edition has added co-author, Allison Pacelli, and two new chapters on "Fairness" and "More Fairness." The examples and the exercises have been updated and enhanced throughout. Reviews from first edition: This book is well written and has much math of interest. While it is pitched at a non-math audience there is material here that will be new and interesting to the readers... -Sigact News For mathematicians, Taylor's book shows how the social sciences make use of mathematical thinking, in the form of axiomatic systems, and offers a chance to teach this kind of thinking to our students. - The College Mathematics Journal The writing is crisp and the sense of excitement about learning mathematics is seductive. The political conflict examples are well thought out and clear. -Michael C. Munger

Who Adjusts?

Who Adjusts?

Domestic Sources of Foreign Economic Policy During the Interwar Years

  • Author: Beth A. Simmons
  • Publisher: Princeton University Press
  • ISBN: 9780691017105
  • Category: Business & Economics
  • Page: 330
  • View: 2311
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Political scientist Beth Simmons presents a fresh view of why governments decided to abide by or defect from the gold standard during the 1920s and 1930s. Simmons analyzes the influence of domestic politics on national responses to international economy and powerfully confirms that different political regimes choose different economic adjustment strategies. .

Political Game Theory

Political Game Theory

An Introduction

  • Author: Nolan McCarty,Adam Meirowitz
  • Publisher: Cambridge University Press
  • ISBN: 1139461818
  • Category: Political Science
  • Page: N.A
  • View: 9253
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Political Game Theory is a self-contained introduction to game theory and its applications to political science. The book presents choice theory, social choice theory, static and dynamic games of complete information, static and dynamic games of incomplete information, repeated games, bargaining theory, mechanism design and a mathematical appendix covering, logic, real analysis, calculus and probability theory. The methods employed have many applications in various disciplines including comparative politics, international relations and American politics. Political Game Theory is tailored to students without extensive backgrounds in mathematics, and traditional economics, however there are also many special sections that present technical material that will appeal to more advanced students. A large number of exercises are also provided to practice the skills and techniques discussed.

A Tale of Two Cultures

A Tale of Two Cultures

Qualitative and Quantitative Research in the Social Sciences

  • Author: Gary Goertz,James Mahoney
  • Publisher: Princeton University Press
  • ISBN: 0691149712
  • Category: Political Science
  • Page: 238
  • View: 7063
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Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.

Statistical Modeling and Inference for Social Science

Statistical Modeling and Inference for Social Science

  • Author: Sean Gailmard
  • Publisher: Cambridge University Press
  • ISBN: 1107003148
  • Category: Business & Economics
  • Page: 388
  • View: 4061
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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.

Electing Peace

Electing Peace

From Civil Conflict to Political Participation

  • Author: Aila Matanock
  • Publisher: Cambridge University Press
  • ISBN: 1107189179
  • Category: History
  • Page: 328
  • View: 2974
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Settlements to civil conflict, notably difficult to secure, sometimes contain clauses enabling the combatant sides to participate as political parties in post-conflict elections. This book presents a theory that explains both the causes and the consequences of these provisions. It draws on new cross-national data on these electoral participation provisions, case studies, and interviews with representatives of all sides of the conflicts (including militants themselves) in Central America. Matanock shows that electoral participation provisions, non-existent during the Cold War, are now in almost half of all peace agreements. Moreover, she demonstrates that these provisions are associated with an increase in the chance that peace endures, potentially contributing to a global decline in civil conflict which challenge prevailing pessimism on post-conflict elections. The book also implies a broader conception of international intervention than currently exists, identifying how these inclusive elections can enable external enforcement mechanisms, providing an alternative in some cases to sending peacekeeping troops.

Negativity in Democratic Politics

Negativity in Democratic Politics

Causes and Consequences

  • Author: Stuart N. Soroka
  • Publisher: Cambridge University Press
  • ISBN: 1107063299
  • Category: Philosophy
  • Page: 184
  • View: 3569
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This book explores the political implications of the human tendency to prioritize negative information over positive information. Drawing on literatures in political science, psychology, economics, communications, biology, and physiology, this book argues that "negativity biases" should be evident across a wide range of political behaviors. These biases are then demonstrated through a diverse and cross-disciplinary set of analyses, for instance: in citizens' ratings of presidents and prime ministers; in aggregate-level reactions to economic news, across 17 countries; in the relationship between covers and newsmagazine sales; and in individuals' physiological reactions to network news content. The pervasiveness of negativity biases extends, this book suggests, to the functioning of political institutions - institutions that have been designed to prioritize negative information in the same way as the human brain.

Guide to Methods for Students of Political Science

Guide to Methods for Students of Political Science

  • Author: Stephen Van Evera
  • Publisher: Cornell University Press
  • ISBN: 0801454441
  • Category: Political Science
  • Page: 144
  • View: 9281
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Stephen Van Evera greeted new graduate students at MIT with a commonsense introduction to qualitative methods in the social sciences. His helpful hints, always warmly received, grew from a handful of memos to an underground classic primer. That primer evolved into a book of how-to information about graduate study, which is essential reading for graduate students and undergraduates in political science, sociology, anthropology, economics, and history—and for their advisers. •How should we frame, assess, and apply theories in the social sciences? "I am unpersuaded by the view that the prime rules of scientific method should differ between hard science and social science. Science is science." •A section on case studies shows novices the ropes. •Van Evera contends the realm of dissertations is often defined too narrowly “Making and testing theories are not the only games in town. . . . If everyone makes and tests theories but no one ever uses them, then what are they for?" •In "Helpful Hints on Writing a Political Science Ph.D. Dissertation," Van Evera focuses on presentation, and on broader issues of academic strategy and tactics. •Van Evera asks how political scientists should work together as a community. “All institutions and professions that face weak accountability need inner ethical rudders that define their obligations in order to stay on course."

Elementary Statistics in Social Research, Books a la Carte

Elementary Statistics in Social Research, Books a la Carte

  • Author: Jack Levin,James Alan Fox,David Forde
  • Publisher: N.A
  • ISBN: 9780134427768
  • Category: Social sciences
  • Page: 608
  • View: 785
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For courses in Statistics for Social Workers An introduction to statistics in the social sciences that balances theory and practice Elementary Statistics in Social Research provides a balanced overview of statistical analysis in the social sciences, providing coverage of both theoretical concepts and step-by-step computational techniques. Throughout this best-selling text, authors Jack Levin, James Alan Fox, and David Forde make statistics accessible to all readers, particularly those without a strong background in mathematics. Throughout the Twelfth Edition, detailed, step-by-step illustrations of statistical procedures help students to better grasp key concepts. NOTE: This ISBN is for a Pearson Books a la Carte edition: a convenient, three-hole-punched, loose-leaf text. In addition to the flexibility offered by this format, Books a la Carte editions offer students great value, as they cost significantly less than a bound textbook. Elementary Statistics in Social Research, Twelfth Edition is also available via REVEL(tm), an interactive learning environment that enables students to read, practice, and study in one continuous experience.

The New Math

The New Math

A Political History

  • Author: Christopher J. Phillips
  • Publisher: University of Chicago Press
  • ISBN: 022618501X
  • Category: History
  • Page: 224
  • View: 663
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An era of sweeping cultural change in America, the postwar years saw the rise of beatniks and hippies, the birth of feminism, and the release of the first video game. It was also the era of new math. Introduced to US schools in the late 1950s and 1960s, the new math was a curricular answer to Cold War fears of American intellectual inadequacy. In the age of Sputnik and increasingly sophisticated technological systems and machines, math class came to be viewed as a crucial component of the education of intelligent, virtuous citizens who would be able to compete on a global scale. In this history, Christopher J. Phillips examines the rise and fall of the new math as a marker of the period’s political and social ferment. Neither the new math curriculum designers nor its diverse legions of supporters concentrated on whether the new math would improve students’ calculation ability. Rather, they felt the new math would train children to think in the right way, instilling in students a set of mental habits that might better prepare them to be citizens of modern society—a world of complex challenges, rapid technological change, and unforeseeable futures. While Phillips grounds his argument in shifting perceptions of intellectual discipline and the underlying nature of mathematical knowledge, he also touches on long-standing debates over the place and relevance of mathematics in liberal education. And in so doing, he explores the essence of what it means to be an intelligent American—by the numbers.

Empirical Research and Writing

Empirical Research and Writing

A Political Science Student’s Practical Guide

  • Author: Leanne C. Powner
  • Publisher: CQ Press
  • ISBN: 1483370666
  • Category: Political Science
  • Page: 320
  • View: 3225
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Students can easily misstep when they first begin to do research. Leanne C. Powner’s new title Empirical Research and Writing: A Student's Practical Guide provides valuable advice and guidance on conducting and writing about empirical research. Chapter by chapter, students are guided through the key steps in the research process. Written in a lively and engaging manner and with a dose of humor, this practical text shows students exactly how to choose a research topic, conduct a literature review, make research design decisions, collect and analyze data, and then write up and present the results. The book's approachable style and just-in-time information delivery make it a text students will want to read, and its wide-ranging and surprisingly sophisticated coverage will make it an important resource for their later coursework.

Time Series Analysis for the Social Sciences

Time Series Analysis for the Social Sciences

  • Author: Janet M. Box-Steffensmeier,John R. Freeman,Matthew P. Hitt,Jon C. W. Pevehouse
  • Publisher: Cambridge University Press
  • ISBN: 1316060500
  • Category: Political Science
  • Page: N.A
  • View: 8499
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Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.

An Introduction to Mathematical Statistics and Its Applications

An Introduction to Mathematical Statistics and Its Applications

  • Author: Richard J. Larsen,Morris L. Marx
  • Publisher: Pearson
  • ISBN: 0134114248
  • Category: Mathematics
  • Page: 768
  • View: 8356
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student’s first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.