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| a mathematics course for political and social research: A Mathematics Course for Political and Social Research Will H. Moore, David A. Siegel, 2013-08-11 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: Essential Mathematics for Political and Social Research Jeff Gill, 2006-04-24 More than ever before, modern social scientists require a basic level of mathematical literacy, yet many students receive only limited mathematical training prior to beginning their research careers. This textbook addresses this dilemma by offering a comprehensive, unified introduction to the essential mathematics of social science. Throughout the book the presentation builds from first principles and eschews unnecessary complexity. Most importantly, the discussion is thoroughly and consistently anchored in real social science applications, with more than 80 research-based illustrations woven into the text and featured in end-of-chapter exercises. Students and researchers alike will find this first-of-its-kind volume to be an invaluable resource.--BOOK JACKET. |
| a mathematics course for political and social research: A Mathematics Course for Political and Social Research Will H. Moore, David A. Siegel, 2013-07-24 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: Computational Frameworks for Political and Social Research with Python Josh Cutler, Matt Dickenson, 2020-04-22 This book is intended to serve as the basis for a first course in Python programming for graduate students in political science and related fields. The book introduces core concepts of software development and computer science such as basic data structures (e.g. arrays, lists, dictionaries, trees, graphs), algorithms (e.g. sorting), and analysis of computational efficiency. It then demonstrates how to apply these concepts to the field of political science by working with structured and unstructured data, querying databases, and interacting with application programming interfaces (APIs). Students will learn how to collect, manipulate, and exploit large volumes of available data and apply them to political and social research questions. They will also learn best practices from the field of software development such as version control and object-oriented programming. Instructors will be supplied with in-class example code, suggested homework assignments (with solutions), and material for practical lab sessions. |
| a mathematics course for political and social research: Quantitative Social Science Kosuke Imai, Lori D. Bougher, 2021-03-16 The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields 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 business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty 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 classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty 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 |
| a mathematics course for political and social research: Maths for Social Sciences Lorenzo Peccati, Mauro D'Amico, Margherita Cigola, 2019-01-14 This book is aimed at students in social sciences programs that include some course in quantitative methods. Stats for social sciences is frequently the subject of textbooks, while maths for social sciences is often neglected: monographs on specific themes (like, for instance, social choice systems or game theory applications) are available, but they do not adequately cover the topic in general. This textbook stems from the Bocconi University’s new Bachelor in Government, which was launched in 2015, and is intended for undergraduate students who do not exclude maths from their toolbox. It discusses various concrete applications in political economics, political science, sociology, and demography and explores topics like Grexit, Macron’s success, immigration effects and the Arab Spring. |
| a mathematics course for political and social research: Mathematics for Social Justice: Resources for the College Classroom Gizem Karaali, Lily S. Khadjavi, 2019-07-09 Mathematics for Social Justice offers a collection of resources for mathematics faculty interested in incorporating questions of social justice into their classrooms. The book begins with a series of essays from instructors experienced in integrating social justice themes into their pedagogy; these essays contain political and pedagogical motivations as well as nuts-and-bolts teaching advice. The heart of the book is a collection of fourteen classroom-tested modules featuring ready-to-use activities and investigations for the college mathematics classroom. The mathematical tools and techniques used are relevant to a wide variety of courses including college algebra, math for the liberal arts, calculus, differential equations, discrete mathematics, geometry, financial mathematics, and combinatorics. The social justice themes include human trafficking, income inequality, environmental justice, gerrymandering, voting methods, and access to education. The volume editors are leaders of the national movement to include social justice material into mathematics teaching. Gizem Karaali is Associate Professor of Mathematics at Pomona College. She is one of the founding editors of The Journal of Humanistic Mathematics, and an associate editor for The Mathematical Intelligencer and Numeracy ; she also serves on the editorial board of the MAA's Carus Mathematical Monographs. Lily Khadjavi is Associate Professor of Mathematics at Loyola Marymount University and is a past co-chair of the Infinite Possibilities Conference. She has served on the boards of Building Diversity in Science, the Barbara Jordan-Bayard Rustin Coalition, and the Harvard Gender and Sexuality Caucus. |
| a mathematics course for political and social research: Mathematics and Politics Alan D. Taylor, Allison M. Pacelli, 2008-09-16 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 |
| a mathematics course for political and social research: Mathematics for Social Scientists Jonathan Kropko, 2016 |
| a mathematics course for political and social research: R for Political Data Science Francisco Urdinez, Andres Cruz, 2020-11-17 R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions. |
| a mathematics course for political and social research: Field Research in Political Science Diana Kapiszewski, Lauren M. MacLean, Benjamin L. Read, 2015-03-19 This book explains how field research contributes value to political science by exploring scholars' experiences, detailing exemplary practices, and asserting key principles. |
| a mathematics course for political and social research: The SAGE Handbook of Applied Social Research Methods Leonard Bickman, Debra J. Rog, 2009 This Handbook addresses the methodology of social science research and the appropriate use of different methods. |
| a mathematics course for political and social research: Maximum Likelihood for Social Science Michael D. Ward, John S. Ahlquist, 2018-11-22 Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation. |
| a mathematics course for political and social research: The Future of Political Science Gary King, Kay L. Schlozman, Norman Nie, 2009-03-15 This book contains some of the newest, most exciting ideas now percolating among political scientists, from hallway conversations to conference room discussions. To spur future research, enrich classroom teaching, and direct non-specialist attention to cutting-edge ideas, a distinguished group of authors from various parts of this sprawling and pluralistic discipline has each contributed a brief essay about a single novel or insufficiently appreciated idea on some aspect of political science. The one hundred essays are concise, no more than a few pages apiece, and informal. While the contributions are highly diverse, readers can find unexpected connections across the volume, tracing echoes as well as diametrically opposed points of view. This book offers compelling points of departure for everyone who is concerned about political science -- whether as a scholar, teacher, student, or interested reader. |
| a mathematics course for political and social research: Time Series Analysis for the Social Sciences Janet M. Box-Steffensmeier, 2014-12-22 This book provides instruction and examples of the core methods in time series econometrics, drawing from several main fields of the social sciences. |
| a mathematics course for political and social research: Data Analysis for Social Science Elena Llaudet, Kosuke Imai, 2023 Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors-- |
| a mathematics course for political and social research: Political Game Theory Nolan M. McCarty, Adam Meirowitz, 2007 Political Game Theory is a self-contained introduction to game theory and its applications to political science. |
| a mathematics course for political and social research: Social Science Research Anol Bhattacherjee, 2012-03-16 This book is designed to introduce doctoral and graduate students to the process of scientific research in the social sciences, business, education, public health, and related disciplines. |
| a mathematics course for political and social research: A Behavioral Theory of Elections Jonathan Bendor, Daniel Diermeier, David A. Siegel, Michael M. Ting, 2011-01-17 Most theories of elections assume that voters and political actors are fully rational. While these formulations produce many insights, they also generate anomalies--most famously, about turnout. The rise of behavioral economics has posed new challenges to the premise of rationality. This groundbreaking book provides a behavioral theory of elections based on the notion that all actors--politicians as well as voters--are only boundedly rational. The theory posits learning via trial and error: actions that surpass an actor's aspiration level are more likely to be used in the future, while those that fall short are less likely to be tried later. Based on this idea of adaptation, the authors construct formal models of party competition, turnout, and voters' choices of candidates. These models predict substantial turnout levels, voters sorting into parties, and winning parties adopting centrist platforms. In multiparty elections, voters are able to coordinate vote choices on majority-preferred candidates, while all candidates garner significant vote shares. Overall, the behavioral theory and its models produce macroimplications consistent with the data on elections, and they use plausible microassumptions about the cognitive capacities of politicians and voters. A computational model accompanies the book and can be used as a tool for further research. |
| a mathematics course for political and social research: Are Science and Mathematics Socially Constructed? Richard C. Brown, 2009 This book is a history, analysis, and criticism of what the author calls OC postmodern interpretations of scienceOCO (PIS) and the closely related OC sociology of scientific knowledgeOCO (SSK). This movement traces its origin to Thomas Kuhn''s revolutionary work, The Structure of Scientific Revolutions (1962), but is more extreme. It believes that science is a OC social constructionOCO, having little to do with nature, and is determined by contextual forces such as the race, class, gender of the scientist, laboratory politics, or the needs of the military industrial complex. |
| a mathematics course for political and social research: Usable Theory Dietrich Rueschemeyer, 2009 Rueschmeyer shows how to construct theory frames & use them to develop valid empirical hypotheses in the course of empirical social & political research. |
| a mathematics course for political and social research: Regression Analysis for the Social Sciences Rachel A. Gordon, 2015 This book provides graduate students in the social sciences with the basic skills that they need in order to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: - interweaving the teaching of statistical concepts with examples developed for the course from publicly available social science data or drawn from the literature; - thorough integration of teaching statistical theory with teaching data processing and analysis using Stata; - use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set-- |
| a mathematics course for political and social research: Approaches and Methodologies in the Social Sciences Donatella Della Porta, Michael Keating, 2008-08-28 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. |
| a mathematics course for political and social research: The Impact of the Social Sciences Simon Bastow, Patrick Dunleavy, Jane Tinkler, 2014-01-17 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. |
| a mathematics course for political and social research: The Mathematics of Voting and Elections Jonathan K. Hodge, Richard E. Klima, 2005 The Mathematics of Voting and Elections: A Hands-on Approach will help you discover answers to these and many other questions. Easily accessible to anyone interested in the subject, the book requires virtually no prior mathematical experience beyond basic arithmetic, and includes numerous examples and discussions regarding actual elections from politics and popular culture. |
| a mathematics course for political and social research: Using Documents in Social Research Lindsay Prior, 2003-06-16 A comprehensive, yet concise, introduction to the use of documents as tools within social science research. |
| a mathematics course for political and social research: The Decline and Rise of Democracy David Stasavage, 2021-08-24 Historical accounts of democracy's rise tend to focus on ancient Greece and pre-Renaissance Europe. The Decline and Rise of Democracy draws from global evidence to show that the story is much richer--democratic practices were present in many places, at many other times, from the Americas before European conquest, to ancient Mesopotamia, to precolonial Africa. Delving into the prevalence of early democracy throughout the world, David Stasavage makes the case that understanding how and where these democracies flourished--and when and why they declined--can provide crucial information not just about the history of governance, but also about the ways modern democracies work and where they could manifest in the future.-- |
| a mathematics course for political and social research: The Oxford Handbook of Political Methodology Janet M. Box-Steffensmeier, Henry E. Brady, David Collier, 2008-08-21 Political methodology has changed dramatically over the past thirty years, and many new methods and techniques have been developed. Both the Political Methodology Society and the Qualitative/Multi-Methods Section of the American Political Science Association have engaged in ongoing research and training programs that have advanced quantitative and qualitative methodology. The Oxford Handbook of Political Methodology presents and synthesizes these developments. The Handbook provides comprehensive overviews of diverse methodological approaches, with an emphasis on three major themes. First, specific methodological tools should be at the service of improved conceptualization, comprehension of meaning, measurement, and data collection. They should increase analysts' leverage in reasoning about causal relationships and evaluating them empirically by contributing to powerful research designs. Second, the authors explore the many different ways of addressing these tasks: through case-studies and large-n designs, with both quantitative and qualitative data, and via techniques ranging from statistical modelling to process tracing. Finally, techniques can cut across traditional methodological boundaries and can be useful for many different kinds of researchers. Many of the authors thus explore how their methods can inform, and be used by, scholars engaged in diverse branches of methodology. |
| a mathematics course for political and social research: Mathematics for Human Flourishing Francis Su, 2020-01-07 The ancient Greeks argued that the best life was filled with beauty, truth, justice, play and love. The mathematician Francis Su knows just where to find them.--Kevin Hartnett, Quanta Magazine This is perhaps the most important mathematics book of our time. Francis Su shows mathematics is an experience of the mind and, most important, of the heart.--James Tanton, Global Math Project For mathematician Francis Su, a society without mathematical affection is like a city without concerts, parks, or museums. To miss out on mathematics is to live without experiencing some of humanity's most beautiful ideas. In this profound book, written for a wide audience but especially for those disenchanted by their past experiences, an award-winning mathematician and educator weaves parables, puzzles, and personal reflections to show how mathematics meets basic human desires--such as for play, beauty, freedom, justice, and love--and cultivates virtues essential for human flourishing. These desires and virtues, and the stories told here, reveal how mathematics is intimately tied to being human. Some lessons emerge from those who have struggled, including philosopher Simone Weil, whose own mathematical contributions were overshadowed by her brother's, and Christopher Jackson, who discovered mathematics as an inmate in a federal prison. Christopher's letters to the author appear throughout the book and show how this intellectual pursuit can--and must--be open to all. |
| a mathematics course for political and social research: Case Study Method Roger Gomm, Martyn Hammersley, Peter Foster, 2000-10-17 This is the most comprehensive guide to the current uses and importance of case study methods in social research. The editors bring together key contributions from the field which reflect different interpretations of the purpose and capacity of case study research. The address issues such as: the problem of generalizing from study of a small number of cases; and the role of case study in developing and testing theories. The editors offer in-depth assessments of the main arguments. An annotated bibliography of the literature dealing with case study research makes this an exhaustive and indispensable guide. |
| a mathematics course for political and social research: A Decade of Upheaval Dong Guoqiang, Andrew G. Walder, 2021-02-23 Inhaltsverzeichnis: Prologue -- Factions -- Enter the Army -- Escalation -- Beijing Intervenes -- Forging Order -- Backlash -- The Final Struggle -- Troubled Decade. |
| a mathematics course for political and social research: Doing Feminist Research in Political and Social Science Brooke A. Ackerly, Jacqui True, 2019-11-08 Guiding students step-by-step through the research process while simultaneously introducing a range of debates, challenges and tools that feminist scholars use, the second edition of this popular textbook provides a vital resource to those students and researchers approaching their studies from a feminist perspective. Interdisciplinary in its approach, the book covers everything from research design, analysis and presentation, to formulating research questions, data collection and publishing research. Offering the most comprehensive and practical guide to the subject available, the text is now also fully updated to take account of recent developments in the field, including participatory action research, new technologies and methods for working with big data and social media. Doing Feminist Research is required reading for undergraduate and postgraduate courses taking a feminist approach to social science methodology, research design and methods. It is the ideal guide for all students and scholars carrying out feminist research, whether in the fields of international relations, political science, interdisciplinary international and global studies, development studies or gender and women's studies. New to this Edition: - New discussions of contemporary research methods, including participatory action research, survey research and technology, and methods for big data and social media. - Updated to reflect recent developments in feminist and gender theory, with references to the latest research examples and new boxes considering recent shifts in the social and political sciences. - Brand new boxed examples throughout covering topics including collaborations, femicide, negotiating changing research environments and the pros and cons of feminist participatory action research. - The text is now written in the first (authors) and second (readers) person making the text clearer, more consistent and inclusive from the reader point of view. |
| a mathematics course for political and social research: Theory-Based Data Analysis for the Social Sciences Carol S. Aneshensel, 2013 This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of third variables to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions. |
| a mathematics course for political and social research: Nationalisms in International Politics Kathleen E. Powers, 2022-02-15 How the ideas that animate nationalism influence whether it causes—or calms—conflict With nationalism on the rise around the world, many worry that nationalistic attitudes could lead to a surge in deadly conflict. To combat this trend, federations like the European Union have tried to build inclusive regional identities to overcome nationalist distrust and inspire international cooperation. Yet not all nationalisms are alike. Nationalisms in International Politics draws on insights from psychology to explore when nationalist commitments promote conflict—and when they foster cooperation. Challenging the received wisdom about nationalism and military aggression, Kathleen Powers differentiates nationalisms built on unity from those built on equality, and explains how each of these norms give rise to distinct foreign policy attitudes. Combining innovative US experiments with fresh analyses of European mass and elite survey data, she argues that unity encourages support for external conflict and undermines regional trust and cooperation, whereas equality mitigates militarism and facilitates support for security cooperation. Nationalisms in International Politics provides a rigorous and compelling look at how different forms of nationalism shape foreign policy attitudes, and raises important questions about whether transnational identities increase support for cooperation or undermine it. |
| a mathematics course for political and social research: The New Math Christopher James Phillips, 2015 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. This book examines the rise and fall of the new math as a marker of the period's political and social ferment. |
| a mathematics course for political and social research: Analyzing Quantitative Data Norman Blaikie, 2003-03-06 For social researchers who need to know what procedures to use under what circumstances in practical research projects, this book does not require an indepth understanding of statistical theory. |
| a mathematics course for political and social research: Applied Social Science Methodology John Gerring, Dino Christenson, 2017-04-27 An innovative textbook introducing a variety of social science methodologies applicable to a range of social and political science disciplines. |
| a mathematics course for political and social research: Social Research Methods Nicholas Walliman, 2006-04-27 Social Research Methods provides student readers with essential help with their research project, with revising for their course exams, preparing and writing course assessment materials, and enhancing and progressing their knowledge and thinking skills in line with course requirements on Research Methods courses. |
| a mathematics course for political and social research: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-10-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
Mathematics - Wikipedia
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Mathematics - Wikipedia
Mathematics has a remarkable ability to cross cultural boundaries and time periods. As a human activity, the practice of mathematics has a social side, which includes education, careers, …
Mathematics | Definition, History, & Importance | Britannica
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Mathematics | Aims & Scope - MDPI
About Mathematics Aims. Mathematics (ISSN 2227-7390) is an international, open access journal which provides an advanced forum for studies related to mathematical sciences. It devotes …
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Basic Mathematics
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