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: 3632
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This 2006 book addresses the comprehensive introduction to the mathematical principles needed by modern social scientists.

Essential Mathematics for Political and Social Research

Essential Mathematics for Political and Social Research

  • Author: Jeff Gill
  • Publisher: Cambridge University Press
  • ISBN: 9781139855860
  • Category: Political Science
  • Page: N.A
  • View: 6860
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Essential Mathematics for Political and Social Research addresses an educational deficiency in the social and behavioral sciences. This 2006 book was the first of its kind to specifically address the comprehensive introduction to the mathematical principles needed by modern social scientists. The material introduces basic mathematical principles necessary to do analytical work in the social sciences, starting from first principles, but without unnecessary complexity. The core purpose is to present fundamental notions in standard notation and standard language with a clear, unified framework throughout. Through examples and exercises, this book is intended to not only motivate specific mathematical principles and practices, but also introduce the way that social science researchers use these tools. The intended emphasis is on conceptual understanding of key principles and their subsequent application.

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: 4681
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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 Mathematical Primer for Social Statistics

A Mathematical Primer for Social Statistics

  • Author: John Fox
  • Publisher: SAGE
  • ISBN: 1412960800
  • Category: Mathematics
  • Page: 170
  • View: 567
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Beyond the introductory level, learning and effectively using statistical methods in the social sciences requires some knowledge of mathematics. This handy volume introduces the areas of mathematics that are most important to applied social statistics.

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: 4333
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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.

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: 827
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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."

Bayesian Methods

Bayesian Methods

A Social and Behavioral Sciences Approach, Third Edition

  • Author: Jeff Gill
  • Publisher: CRC Press
  • ISBN: 1439862494
  • Category: Mathematics
  • Page: 724
  • View: 5665
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An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach. New to the Third Edition A chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James–Stein estimation A chapter on the practical implementation of MCMC methods using the BUGS software Greatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigm Many new applications from a variety of social science disciplines Double the number of exercises, with 20 now in each chapter Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from R This bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.

Mathematics for Social Scientists

Mathematics for Social Scientists

  • Author: Jonathan Kropko
  • Publisher: SAGE Publications
  • ISBN: 1506304230
  • Category: Social Science
  • Page: 408
  • View: 9869
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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.

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: 1666
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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.

Impact Analysis for Program Evaluation

Impact Analysis for Program Evaluation

  • Author: Lawrence B. Mohr
  • Publisher: SAGE
  • ISBN: 9780803959361
  • Category: Political Science
  • Page: 311
  • View: 9598
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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.

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: 3391
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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 Handbook of Criminological Theory

The Handbook of Criminological Theory

  • Author: Alex R. Piquero
  • Publisher: John Wiley & Sons
  • ISBN: 1118512383
  • Category: Social Science
  • Page: 560
  • View: 4490
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"Provides up-to-date, in-depth summaries of the most important theories in criminology, from classic deterrence theory and social disorganization to modern labeling theory and integrated theory"--

Bayesian Methods

Bayesian Methods

A Social and Behavioral Sciences Approach, Second Edition

  • Author: Jeff Gill
  • Publisher: CRC Press
  • ISBN: 1584885629
  • Category: Mathematics
  • Page: 752
  • View: 3328
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The first edition of Bayesian Methods: A Social and Behavioral Sciences Approach helped pave the way for Bayesian approaches to become more prominent in social science methodology. While the focus remains on practical modeling and basic theory as well as on intuitive explanations and derivations without skipping steps, this second edition incorporates the latest methodology and recent changes in software offerings. New to the Second Edition Two chapters on Markov chain Monte Carlo (MCMC) that cover ergodicity, convergence, mixing, simulated annealing, reversible jump MCMC, and coupling Expanded coverage of Bayesian linear and hierarchical models More technical and philosophical details on prior distributions A dedicated R package (BaM) with data and code for the examples as well as a set of functions for practical purposes such as calculating highest posterior density (HPD) intervals Requiring only a basic working knowledge of linear algebra and calculus, this text is one of the few to offer a graduate-level introduction to Bayesian statistics for social scientists. It first introduces Bayesian statistics and inference, before moving on to assess model quality and fit. Subsequent chapters examine hierarchical models within a Bayesian context and explore MCMC techniques and other numerical methods. Concentrating on practical computing issues, the author includes specific details for Bayesian model building and testing and uses the R and BUGS software for examples and exercises.

Essential Mathematics for Economics and Business

Essential Mathematics for Economics and Business

  • Author: Teresa Bradley
  • Publisher: John Wiley & Sons
  • ISBN: 1118358295
  • Category: Business & Economics
  • Page: 688
  • View: 1963
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Containing numerous worked examples and exercises, this text aims to help students improve their understanding of key concepts and to develop stronger mathematical skills.

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: 2542
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Argues that likelihood theory is a unifying approach to statistical modeling in political science

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: 1444
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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.

Quantitative Social Science

Quantitative Social Science

An Introduction

  • Author: Kosuke Imai
  • Publisher: Princeton University Press
  • ISBN: 1400885256
  • Category: Social Science
  • Page: 432
  • View: 5073
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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

Game Theory and Political Theory

Game Theory and Political Theory

An Introduction

  • Author: Peter C. Ordeshook
  • Publisher: Cambridge University Press
  • ISBN: 9780521315937
  • Category: History
  • Page: 511
  • View: 6448
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This book integrates political theory and mathematical models of political and economic processes.

Street-Fighting Mathematics

Street-Fighting Mathematics

The Art of Educated Guessing and Opportunistic Problem Solving

  • Author: Sanjoy Mahajan,Carver A. Mead
  • Publisher: MIT Press
  • ISBN: 0262265591
  • Category: Mathematics
  • Page: 152
  • View: 5907
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In problem solving, as in street fighting, rules are for fools: do whatever works -- don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation.In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge -- from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool -- the general principle -- from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems.Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license.

Social Statistics for a Diverse Society

Social Statistics for a Diverse Society

  • Author: Chava Frankfort-Nachmias,Anna Leon-Guerrero
  • Publisher: Pine Forge Press
  • ISBN: 1412992532
  • Category: Mathematics
  • Page: 574
  • View: 8264
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The new edition of this bestselling text continues to emphasize intuition and common sense, while demonstrating the link between the practice of statistics and important social issues. The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.