Search Results for "essential-mathematics-for-political-and-social-research"

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: 9441
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This 2006 book addresses the comprehensive introduction to the mathematical principles needed by modern social scientists.

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: 6455
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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

Mathematics for Social Scientists

Mathematics for Social Scientists

  • Author: Jonathan Kropko
  • Publisher: SAGE Publications
  • ISBN: 1506304230
  • Category: Social Science
  • Page: 408
  • View: 8354
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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.

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: 6075
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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.

Statistics with STATA

Statistics with STATA

  • Author: Lawrence Hamilton
  • Publisher: Cengage Learning
  • ISBN: 0495557862
  • Category: Mathematics
  • Page: 400
  • View: 4783
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For students and practicing researchers alike, STATISTICS WITH STATA opens the door to the full use of the popular Stata program a fast, flexible, and easy-to-use environment for data management and statistics analysis. Now integrating Stata’s impressive new graphics, this comprehensive book presents hundreds of examples showing how you can apply Stata to accomplish a wide variety of tasks. Like Stata itself, STATISTICS WITH STATA will make it easier for you to move fluidly through the world of modern data analysis. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Quantitative Social Science

Quantitative Social Science

An Introduction

  • Author: Kosuke Imai
  • Publisher: Princeton University Press
  • ISBN: 1400885256
  • Category: Social Science
  • Page: 432
  • View: 4268
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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

Impact Analysis for Program Evaluation

Impact Analysis for Program Evaluation

  • Author: Lawrence B. Mohr
  • Publisher: SAGE
  • ISBN: 9780803959361
  • Category: Political Science
  • Page: 311
  • View: 8006
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Successful in the first edition for its integration of multiple regression with evaluation design and for its systematic ways to select the proper goals for single - and multiple- outcome evaluations, this new edition is more helpful than ever. Impact Analysis for Program Evaluation, Second Edition has been revised to cover new issues and to further clarify the concepts used in impact analysis. It offers expanded coverage and explanation of quasi-experiments, a new section on the theory of impact analysis, updated information on the use of qualitative research for impact analysis, and expanded coverage of significance testing for program evaluation. It also includes an explanation of why the comparative-change design (i.e., Campbell and Stanley’s "nonequivalent control group" design) is better than an ex post facto design from the standpoint of causal inference.

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: 2513
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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."

Computational Social Science

Computational Social Science

Discovery and Prediction

  • Author: R. Michael Alvarez
  • Publisher: Cambridge University Press
  • ISBN: 1316531287
  • Category: Political Science
  • Page: N.A
  • View: 3539
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Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

What's Luck Got to Do with It?

What's Luck Got to Do with It?

The History, Mathematics, and Psychology of the Gambler's Illusion

  • Author: Joseph Mazur
  • Publisher: Princeton University Press
  • ISBN: 9781400834457
  • Category: Mathematics
  • Page: 296
  • View: 3619
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Why do so many gamblers risk it all when they know the odds of winning are against them? Why do they believe dice are "hot" in a winning streak? Why do we expect heads on a coin toss after several flips have turned up tails? What's Luck Got to Do with It? takes a lively and eye-opening look at the mathematics, history, and psychology of gambling to reveal the most widely held misconceptions about luck. It exposes the hazards of feeling lucky, and uses the mathematics of predictable outcomes to show when our chances of winning are actually good. Mathematician Joseph Mazur traces the history of gambling from the earliest known archaeological evidence of dice playing among Neolithic peoples to the first systematic mathematical studies of games of chance during the Renaissance, from government-administered lotteries to the glittering seductions of grand casinos, and on to the global economic crisis brought on by financiers' trillion-dollar bets. Using plenty of engaging anecdotes, Mazur explains the mathematics behind gambling--including the laws of probability, statistics, betting against expectations, and the law of large numbers--and describes the psychological and emotional factors that entice people to put their faith in winning that ever-elusive jackpot despite its mathematical improbability. As entertaining as it is informative, What's Luck Got to Do with It? demonstrates the pervasive nature of our belief in luck and the deceptive psychology of winning and losing. Some images inside the book are unavailable due to digital copyright restrictions.

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: 3058
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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.

Big Data and Social Science

Big Data and Social Science

A Practical Guide to Methods and Tools

  • Author: Ian Foster,Rayid Ghani,Ron S. Jarmin,Frauke Kreuter,Julia Lane
  • Publisher: CRC Press
  • ISBN: 1498751431
  • Category: Mathematics
  • Page: 376
  • View: 1914
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Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.

Social Statistics for a Diverse Society

Social Statistics for a Diverse Society

  • Author: Chava Frankfort-Nachmias,Anna Leon-Guerrero
  • Publisher: SAGE Publications
  • ISBN: 1506347223
  • Category: Social Science
  • Page: 544
  • View: 4357
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This Eighth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating that social science is a constant interplay between methods of inquiry and important social issues. Recognizing that today’s students live in a world of growing diversity and richness of social differences, authors Chava Frankfort-Nachmias and Anna Leon-Guerrero use research examples that show how statistics is a tool for understanding the ways in which race, class, gender, and other categories of experience shape our social world and influence social behavior. In addition, guides for reading and interpreting the research literature help students acquire statistical literacy, while SPSS demonstrations and a rich variety of exercises help them hone their problem-solving skills.

Mathematics and Democracy

Mathematics and Democracy

Designing Better Voting and Fair-Division Procedures

  • Author: Steven J. Brams
  • Publisher: Princeton University Press
  • ISBN: 1400835593
  • Category: Science
  • Page: 392
  • View: 751
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Voters today often desert a preferred candidate for a more viable second choice to avoid wasting their vote. Likewise, parties to a dispute often find themselves unable to agree on a fair division of contested goods. In Mathematics and Democracy, Steven Brams, a leading authority in the use of mathematics to design decision-making processes, shows how social-choice and game theory could make political and social institutions more democratic. Using mathematical analysis, he develops rigorous new procedures that enable voters to better express themselves and that allow disputants to divide goods more fairly. One of the procedures that Brams proposes is "approval voting," which allows voters to vote for as many candidates as they like or consider acceptable. There is no ranking, and the candidate with the most votes wins. The voter no longer has to consider whether a vote for a preferred but less popular candidate might be wasted. In the same vein, Brams puts forward new, more equitable procedures for resolving disputes over divisible and indivisible goods.

Approaches and Methodologies in the Social Sciences

Approaches and Methodologies in the Social Sciences

A Pluralist Perspective

  • Author: Donatella Della Porta,Michael Keating
  • Publisher: Cambridge University Press
  • ISBN: 1139474596
  • Category: Political Science
  • Page: N.A
  • View: 2164
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A revolutionary textbook introducing masters and doctoral students to the major research approaches and methodologies in the social sciences. Written by an outstanding set of scholars, and derived from successful course teaching, this volume will empower students to choose their own approach to research, to justify this approach, and to situate it within the discipline. It addresses questions of ontology, epistemology and philosophy of social science, and proceeds to issues of methodology and research design essential for producing a good research proposal. It also introduces researchers to the main issues of debate and contention in the methodology of social sciences, identifying commonalities, historic continuities and genuine differences.

Key Concepts in Social Research

Key Concepts in Social Research

  • Author: Geoff Payne,Judy Payne
  • Publisher: SAGE
  • ISBN: 1446233898
  • Category: Social Science
  • Page: 248
  • View: 8651
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`This clearly written and user-friendly book is ideal for students or researchers who wish to get a basic, but solid grasp of a topic and see how it fits with other topics. By following the links a student can easily and efficiently build up a clear conceptual map of social research' - Malcolm Williams, Reader in Sociology, Cardiff University `This is a really useful book, written in an accessible manner for students beginning their study of social research methods. It is helpful both as an introductory text and as a reference guide for more advanced students. Most of the key topics in methods and methodology are covered and it will be suitable as a recommended text on a wide variety of courses' - Clive Seale, Brunel University At last, an authoritative, crystal-clear introduction to research methods which really takes account of the needs of students for accessible, focused information to help with undergraduate essays and exams. The key concepts discussed here are based on a review of teaching syllabi and the authors' experience of many years of teaching. Topics range over qualitative and quantitative approaches and combine practical considerations with philosophical issues. They include several new topics, like internet and phone polling, internet searches, and visual methods. Each section is free-standing, can be tackled in order, but with links to other sections to enable students to cross-reference and build up a wider understanding of central research methods. To facilitate comprehension and aid study, each section begins with a definition. It is followed by a summary of key points with key words and guides to further reading and up-to-date examples. The book is a major addition to undergraduate reading lists. It is reliable, allows for easy transference to essays and exams and easy to use, and exceptionally clearly written for student consumption. The book answers the needs of all those who find research methods daunting, and for those who have dreamt of an ideal introduction to the subject.

The Politics of Large Numbers

The Politics of Large Numbers

A History of Statistical Reasoning

  • Author: Alain Desrosières,Camille Naish
  • Publisher: Harvard University Press
  • ISBN: 9780674009691
  • Category: Mathematics
  • Page: 368
  • View: 2460
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Begins with study of history of statistics, and shows how the evolution of modern statistics has been inextricably bound up with the knowledge and power of governments.

The Handbook of Criminological Theory

The Handbook of Criminological Theory

  • Author: Alex R. Piquero
  • Publisher: John Wiley & Sons
  • ISBN: 1118512324
  • Category: Social Science
  • Page: 560
  • View: 4298
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An indispensable resource for all levels, this handbook provides up-to-date, in-depth summaries of the most important theories in criminology. Provides original, cutting-edge, and in-depth summaries of the most important theories in criminology Covers the origins and assumptions behind each theory, explores current debates and research, points out knowledge gaps, and offers directions for future research Encompasses theory, research, policy, and practice, with recommendations for further reading at the end of each essay Features discussions of broad issues and topics related to the field, such as the correlates of crime, testing theory, policy, and prediction Clearly and accessibly written by leading scholars in the field as well as up-and-coming scholars

The Essentials of Statistics: A Tool for Social Research

The Essentials of Statistics: A Tool for Social Research

  • Author: Joseph F. Healey
  • Publisher: Cengage Learning
  • ISBN: 1305445740
  • Category: Social Science
  • Page: 480
  • View: 8260
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Framed in a student-friendly writing style, this text presents the essentials of statistics with an applied approach. Author Joseph Healey encourages skill development for statistical literacy, emphasizing computational competence and the ability to read social science literature with greater comprehension. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The Impact of the Social Sciences

The Impact of the Social Sciences

How Academics and their Research Make a Difference

  • Author: Simon Bastow,Patrick Dunleavy,Jane Tinkler
  • Publisher: SAGE
  • ISBN: 1446293254
  • Category: Social Science
  • Page: 344
  • View: 8126
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The impact agenda is set to shape the way in which social scientists prioritise the work they choose to pursue, the research methods they use and how they publish their findings over the coming decade, but how much is currently known about how social science research has made a mark on society? Based on a three year research project studying the impact of 360 UK-based academics on business, government and civil society sectors, this groundbreaking new book undertakes the most thorough analysis yet of how academic research in the social sciences achieves public policy impacts, contributes to economic prosperity, and informs public understanding of policy issues as well as economic and social changes. The Impact of the Social Sciences addresses and engages with key issues, including: identifying ways to conceptualise and model impact in the social sciences developing more sophisticated ways to measure academic and external impacts of social science research explaining how impacts from individual academics, research units and universities can be improved. This book is essential reading for researchers, academics and anyone involved in discussions about how to improve the value and impact of funded research. You can read a snapshot of the results, Visualising the Data, free online. To download a PDF click here, or to browse a flipbook, click here.