A MATHEMATICS COURSE FOR POLITICAL AND SOCIAL RESEARCH

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A Mathematics Course For Political And Social Research

Author : Will H. Moore
ISBN : 9781400848614
Genre : Political Science
File Size : 24.44 MB
Format : PDF, ePub, Docs
Download : 270
Read : 571

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
Category: Political Science

A Mathematics Course For Political And Social Research

Author : Will H. Moore
ISBN : 0691159955
Genre : Mathematics
File Size : 24.22 MB
Format : PDF, Docs
Download : 506
Read : 1199

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
Category: Mathematics

A Mathematics Course For Political And Social Research

Author : Will H. Moore
ISBN : 0691159173
Genre : Mathematics
File Size : 78.3 MB
Format : PDF
Download : 955
Read : 436

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
Category: Mathematics

Mathematics For Social Scientists

Author : Jonathan Kropko
ISBN : 9781506304229
Genre : Social Science
File Size : 82.55 MB
Format : PDF, Mobi
Download : 312
Read : 884

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.
Category: Social Science

Quantitative Social Science

Author : Kosuke Imai
ISBN : 9781400885251
Genre : Social Science
File Size : 44.12 MB
Format : PDF, ePub, Docs
Download : 361
Read : 853

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
Category: Social Science

Who Adjusts

Author : Beth A. Simmons
ISBN : 0691017107
Genre : Business & Economics
File Size : 48.97 MB
Format : PDF
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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. .
Category: Business & Economics

Political Game Theory

Author : Nolan McCarty
ISBN : 9781139461818
Genre : Political Science
File Size : 54.71 MB
Format : PDF, ePub
Download : 523
Read : 1118

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.
Category: Political Science

Electing Peace

Author : Aila Matanock
ISBN : 9781107189171
Genre : History
File Size : 49.40 MB
Format : PDF, Kindle
Download : 851
Read : 547

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.
Category: History

Statistical Modeling And Inference For Social Science

Author : Sean Gailmard
ISBN : 9781107003149
Genre : Business & Economics
File Size : 63.96 MB
Format : PDF
Download : 549
Read : 740

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.
Category: Business & Economics