Research methods / methodology Books
Cambridge University Press Thinking and Deciding
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£95.00
Cambridge University Press Fieldwork in New Religious Movements
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£17.00
Cambridge University Press Childrens Voices and Agency
Book SynopsisThe increased international legislation emphasising children''s participation agenda heightened the need for high-quality research in early childhood. Listening to young children asserts their participation, agency and voices in research, an approach commonly associated with qualitative research methods. This Element provides a novel perspective to listening to children''s voices by focusing on research methods in early childhood studies that are broadly categorised as quantitative, qualitative, and mixed methods. Locating these research methods from a children''s rights perspective, this Element is based on values that young children have the right to be involved in research irrespective of culture and context. Each section discusses how the different methodologies and approaches used in early childhood research align with the principles of children''s participation and agency, as well as their right to express their views on matters that affect them. The Element concludes with a roadmap for future early childhood research and its ethical dissemination.
£17.00
Cambridge University Press Algorithms for Measurement Invariance Testing
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£17.00
Cambridge University Press Elements of Structural Equation Models SEMs
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£121.50
Cambridge University Press The Governance Cycle in Parliamentary Democracies
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£80.75
Cambridge University Press The Governance Cycle in Parliamentary Democracies
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£25.64
Cambridge University Press Formal Models of Crisis Bargaining
Book SynopsisFormal Models of Crisis Bargaining offers a groundbreaking guide to modern crisis bargaining theory and is essential reading both for advanced undergraduates (providing comprehensive coverage of the field for the first time) and graduates and researchers (as a vital learning tool for those wishing to conduct original research).Trade Review'Textbook, yes, but at the same time a creative, well organized, and clearly written synthesis and presentation of around 30 years of thinking about paths into armed conflict in terms of bargaining models. Spaniel's book pulls this part of the field together in a highly useful way, adding valuable clarifications and insights throughout. Excellent both as an efficient introduction and a jumping off point for next steps.' James Fearon, Stanford University, California'In the face of the obvious cost, in terms of both economic loss and human suffering, the fact that war occurs at all is puzzling. For the last 20 years, scholars of international relations have developed a useful and rigorous framework for understanding the factors that prevent countries from reaching peaceful settlements to their disputes. In Formal Models of Crisis Bargaining: Applications in the Politics of Conflict, Spaniel skillfully elucidates the contemporary scholarly understanding of war's origins in a remarkably accessible manner. He adeptly introduces the reader to modern strategic analysis of conflict, employing clear prose and presenting numerous real-world applications. Everyone from undergraduate political science majors to research scholars will find value in this ambitious and necessary book.' Kristopher W. Ramsay, Princeton University, New Jersey'Spaniel's textbook is truly impressive, covering a wide range of technical material with both accessibility and depth and giving structure to a rapidly growing modeling enterprise at the center of the modern theory of war. It'll be a staple of my graduate teaching from here on.' Scott Wolford, University of Texas, Austin'For almost three decades, scholars have been studying conflict and violence using the verbal and mathematical language of bargaining without a guide. With deep knowledge of this work, Spaniel standardizes diverse models and presents a compelling and accessible story as to how to understand war and peace. This will be an essential reference for all students of conflict.' Emily Ritter, Vanderbilt University, Tennessee'The book is an outstanding treatment of the formal literature on international conflict that has developed in the last three decades. The chapters are clear and concise, and cover a broad range of important topics, including commitment problems, the role of uncertainty, costly signalling and cheap talk, and mechanism design. Readers will gain valuable insight into the role of formal models in understanding crisis bargaining and war.' Mark Fey, University of Rochester, New YorkTable of Contents1. Introduction: why war? Part I. Complete Information Models: 2. War's inefficiency puzzle; 3. Power and commitment problems; 4. Preventive war and bargaining over power; 5. Hidden commitment problems; Part II. Incomplete Information Models: 6. Uncertainty over costs; 7. Uncertainty over power; 8. Cheap talk and incentives to misrepresent; 9. Military mobilizations and costly signals; 10. Manipulating the peace premium; 11. Mechanism design; 12. Fighting and learning; Part III. Appendices: 13. Discounting; 14. Derivatives of implicit functions; 15. Mechanism design primer.
£99.75
Cambridge University Press The General Linear Model
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£21.84
Cambridge University Press The General Linear Model
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£66.50
Cambridge University Press Understanding Figures in Neuroscience Research
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£94.99
Cambridge University Press The Evaluation Game
Book SynopsisThis text provides a detailed introduction to the origin and development of publication metrics used to measure academic productivity across the world, and the effect they have upon the quality and diversity of scientific research.Trade Review'Research evaluation has taken very different forms under different bureaucracies and political systems. Kulczycki makes a unique contribution by explaining some 'untold histories of research evaluation' from Eastern Europe and comparing metric-based evaluation models under socialist and neoliberal regimes.' Ismael Rafols, Centre for Science and Technology Studies (CWTS), Leiden'Emanuel Kulczycki is uniquely positioned to provide this highly insightful critique of the relationship between academia and the state in research evaluation systems. In this book, evaluation is not merely an event of which researchers are the sole object or beneficiary but a process that is inextricably tied to issues of trust, communication, discipline diversity and the power of the state. Only by reconciling these relationships can we move to more responsible research evaluation and address academic resistance.' Gemma Derrick, Centre for Higher Education Transformations, University of Bristol'The author uses the metaphor in the title to emphasize the competitive environment in which scientific research takes place. He shows the extent to which research evaluation originates (also) from the government. In this context, he points out a remarkable difference between the West (USA and Western Europe) and the former Eastern Bloc. In the West, researchers have more confidence in colleagues, via peer review, while in the former East Bloc, there is a historic distrust in authorities (experts), and hence a preference for bibliometric indicators. The book draws attention to power relations in science and as such is a useful read, not only for information scientists but also for sociologists and political scientists who want to take a glonacal (global-national-local) perspective.' Ronald Rousseau, KU Leuven and University of AntwerpTable of ContentsIntroduction; 1. Evaluation as power; 2. Economization and metricization; 3. Untold histories of research evaluation; 4. The diversity of evaluative powers; 5. Players and the stakes; 6. Playing the evaluation game; Conclusions; Acknowledgements; References; Index.
£29.99
Cambridge University Press Collaborative Ethnography of Global Environmental Governance
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£17.00
Cambridge University Press Rethinking Clinical Research
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£85.50
Cambridge University Press Indigenous Psychology in Africa
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£17.00
Cambridge University Press PostTruth American Politics
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£21.84
Cambridge University Press Morphogenesis Answers Its Critics
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£80.75
Cambridge University Press Collaborate Now
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£21.84
Cambridge University Press Collaborate Now
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£66.50
Cambridge University Press Political Representation as Communicative
Book Synopsis
£17.00
Cambridge University Press Philosophy of Open Science
Book SynopsisThis Element proposes to frame openness in the Open Science [OS] movement as the effort to establish judicious connections among systems of practice, predicated on a process-oriented view of research as a tool for effective and responsible agency. This title is also available as Open Access on Cambridge Core.Table of Contents1. Introduction; 2. Rethinking communication: research in a changing world; 3. Rethinking practice: challenges of open science implementation; 4. Rethinking values: diversity and justice across systems of practice; 5. Rethinking the philosophy of OS; 6. Conclusion; References.
£17.00
Cambridge University Press Quantitative and Computational Approaches to
Book SynopsisThis Element surveys the various lines of work that have applied algorithmic, formal, mathematical, statistical, and/or probabilistic methods to the study of phonology and the computational problems it solves. Topics covered include: how quantitative and/or computational methods have been used in research on both rule- and constraint-based theories of the grammar, including questions about how grammars are learned from data, how to best account for gradience as observed in acceptability judgments and the relative frequencies of different structures in the lexicon, what formal language theory, model theory, and information theory can and have contributed to the study of phonology, and what new directions in connectionist modeling are being explored. The overarching goal is to highlight how the work grounded in these various methods and theoretical orientations is distinct but also interconnected, and how central quantitative and computational approaches have become to the research in and teaching of phonology.
£17.00
Cambridge University Press A Practical Introduction to Regression Discontinuity Designs
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£17.00
Cambridge University Press Data Systems and Society
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£66.50
Cambridge University Press Algorithms for Measurement Invariance Testing
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£47.49
Cambridge University Press A Practical Introduction to Regression Discontinuity Designs
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£47.49
Cambridge University Press Logical Empiricism as Scientific Philosophy
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£17.00
Cambridge University Press Logical Empiricism as Scientific Philosophy
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£47.49
Cambridge University Press Item Response Theory for Creativity Measurement
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£47.49
Cambridge University Press Collaborative Ethnography of Global Environmental Governance
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£47.49
Cambridge University Press Fieldwork in New Religious Movements
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£47.49
Cambridge University Press External Validity and Evidence Accumulation
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£47.49
Cambridge University Press Indigenous Psychology in Africa
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£47.49
Cambridge University Press Bayesian Social Science Statistics
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£47.49
Cambridge University Press Childrens Voices and Agency
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£47.49
Cambridge University Press Contests
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£81.00
Cambridge University Press Inside Parties
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£72.00
Cambridge University Press The Three Pillars of Ethical Research with
Book SynopsisThe Three Pillars (Harmonization, Replacement, and Justice) describe an ethical path forward and away from the use of nonhuman primates in harmful research and scientific use. Conducting nonhuman primate research in an ethical way that acknowledges their moral importance requires satisfying more rigorous guidelines and regulations modeled on those that apply to similarly vulnerable human subjects, especially children and incarcerated persons. This Element argues for the moral necessity of harmonizing human and nonhuman primate research ethics, regulations, and guidelines in a way that protects all primates, human and nonhuman. The authors call for the replacement of nonhuman primates in research with human-relevant methods that do not simply shift research onto other nonhuman animals, and challenge publics, governments, and scientific communities worldwide to implement justice in the selection and use of all research subjects. This title is also available as Open Access on Cambridge Core.
£17.00
Cambridge University Press The Three Pillars of Ethical Research with Nonhuman Primates
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£47.49
Cambridge University Press Underdetermination and Theoretical Virtues
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£52.25
Cambridge University Press Shared Leadership 2.0
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£47.49
Cambridge University Press Political Representation as Communicative Practice
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£47.49
Cambridge University Press Dependence Models via Hierarchical Structures
Book SynopsisBringing together years of research into one useful resource, this text empowers the reader to creatively construct their own dependence models. Intended for senior undergraduate and postgraduate students, it takes a step-by-step look at the construction of specific dependence models, including exchangeable, Markov, moving average and, in general, spatio-temporal models. All constructions maintain a desired property of pre-specifying the marginal distribution and keeping it invariant. They do not separate the dependence from the marginals and the mechanisms followed to induce dependence are so general that they can be applied to a very large class of parametric distributions. All the constructions are based on appropriate definitions of three building blocks: prior distribution, likelihood function and posterior distribution, in a Bayesian analysis context. All results are illustrated with examples and graphical representations. Applications with data and code are interspersed throughout the book, covering fields including insurance and epidemiology.
£52.24
Cambridge University Press Empirical Research and Writing
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£94.99
Cambridge University Press Regression and Other Stories
Book SynopsisMost textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors'' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.Trade Review'Gelman, Hill and Vehtari provide an introductory regression book that hits an amazing trifecta: it motivates regression using real data examples, provides the necessary (but not superfluous) theory, and gives readers tools to implement these methods in their own work. The scope is ambitious - including introductions to causal inference and measurement - and the result is a book that I not only look forward to teaching from, but also keeping around as a reference for my own work.' Elizabeth Tipton, Northwestern University'Regression and Other Stories is simply the best introduction to applied statistics out there. Filled with compelling real-world examples, intuitive explanations, and practical advice, the authors offer a delightfully modern perspective on the subject. It's an essential resource for students and practitioners across the statistical and social sciences.' Sharad Goel, Department of Management Science and Engineering, Stanford University'With modern software it is very easy to fit complex regression models, and even easier to get their interpretation completely wrong. This wonderful book, summarising the authors' years of experience, stays away from mathematical proofs, and instead focuses on the insights to be gained by careful plotting and modelling of data. In particular the chapters on causal modelling, and the challenges of working with selected samples, provide some desperately needed lessons.' David Spiegelhalter, University of Cambridge'Gelman and Hill, have done it again, this time with Aki Vehtari. They have written a textbook that should be on every applied quantitative researcher's bookshelf. Most importantly they explain how to do and interpret regression with real world, complicated examples. Practicing academics in addition to students will benefit from giving this book a close read.' Christopher Winship, Harvard University, Massachusetts'Comprehensive and charming, this regression manual belongs on every regressor's shelf.' Joshua Angrist, Massachusetts Institute of TechnologyTable of ContentsPreface; Part I. Fundamentals: 1. Overview; 2. Data and measurement; 3. Some basic methods in mathematics and probability; 4. Statistical inference; 5. Simulation; Part II. Linear Regression: 6. Background on regression modeling; 7. Linear regression with a single predictor; 8. Fitting regression models; 9. Prediction and Bayesian inference; 10. Linear regression with multiple predictors; 11. Assumptions, diagnostics, and model evaluation; 12. Transformations and regression; Part III. Generalized Linear Models: 13. Logistic regression; 14. Working with logistic regression; 15. Other generalized linear models; Part IV. Before and After Fitting a Regression: 16. Design and sample size decisions; 17. Poststratification and missing-data imputation; Part V. Causal Inference: 18. Causal inference and randomized experiments; 19. Causal inference using regression on the treatment variable; 20. Observational studies with all confounders assumed to be measured; 21. Additional topics in causal inference; Part VI. What Comes Next?: 22. Advanced regression and multilevel models; Appendices: A. Computing in R; B. 10 quick tips to improve your regression modelling; References; Author index; Subject index.
£75.04
Cambridge University Press Handbook of Computational Social Choice
Book SynopsisThe rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the computational social choice community, covers the field comprehensively. Chapters devoted to each of the field''s major themes offer detailed introductions. Topics include voting theory (such as the computational complexity of winner determination and manipulation in elections), fair allocation (such as algorithms for dividing divisible and indivisible goods), coalition formation (such as matching and hedonic games), and many more. Graduate students, researchers, and professionals in computer science, economics, mathematics, political science, and philosophy will benefit from this accessible and self-contained book.Trade Review'The book offers to noneconomists an outstanding self-contained introduction to normative themes in contemporary economics and to economists a thorough discussion of the computational limits of their art. But I also recommend it to anyone with a taste for axiomatics: it is replete with new and open questions that will be with us for some time.' Hervé Moulin, from the Foreword'… anyone who knows a fair amount about the field will find much enjoyable reading in any given chapter. Those who wish to know more should first read the compact but well-organized overview of many of the classical questions in Chapter 2, and then skip to a self-contained chapter of one's choice. Bribery? The internet? Cake cutting? It's all there, waiting for discovery.' Karl-Dieter Crisman, MAA Reviews'Since the field of computational social choice is growing rapidly, a handbook such as this at this juncture is the need of the hour. The handbook is the product of the efforts of 36 outstanding members of the computational social choice community. It provides elaborate initiations to the major areas of the field. The handbook has already become an authoritative reference work and has been cited over 100 times since its publication. It contains many interesting open questions which will serve as fodder for hungry researchers … The book is a treasure trove of ideas from economics and computer science. Academicians, professionals, researchers, and students in many disciplines including economics, computer science, game theory, mathematics, philosophy, and political science will gain from this approachable and self-contained handbook.' S. V. Nagaraj, SIGACT News'As a final comment, let me say that this Handbook is a most remarkable volume. I was unable to detect defects or weaknesses. All chapters are well written, with an obvious objective regarding readership. Introduction sections are clear. The authors are capable of transmitting their knowledge, whatever the difficulty. I can only repeat myself by saying that it is highly recommended to all social scientists and all computer scientists interested in voting and in social choice in general.' Maurice Salles, OEconomia'If readers are looking for a short and concise introduction to (computational) social choice and for in-depth descriptions of essential theoretical problems and computational solutions covering a wide range of topics (voting, allocation, etc.), then this handbook may really be useful.' Roman Seidl, Journal of Artificial Societies and Social SimulationTable of ContentsForeword Hervé Moulin; 1. Introduction to computational social choice Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang and Ariel D. Procaccia; Part I. Voting: 2. Introduction to the theory of voting William S. Zwicker; 3. Tournament solutions Felix Brandt, Markus Brill and Paul Harrenstein; 4. Weighted tournament solutions Felix Fischer, Olivier Hudry and Rolf Niedermeier; 5. Dodgson's rule and Young's rule Ioannis Caragiannis, Edith Hemaspaandra and Lane A. Hemaspaandra; 6. Barriers to manipulation in voting Vincent Conitzer and Toby Walsh; 7. Control and bribery in voting Piotr Faliszewski and Jörg Rothe; 8. Rationalizations of voting rules Edith Elkind and Arkadii Slinko; 9. Voting in combinatorial domains Jérôme Lang and Lirong Xia; 10. Incomplete information and communication in voting Craig Boutilier and Jeffrey S. Rosenschein; Part II. Fair Allocation: 11. Introduction to the theory of fair allocation William Thomson; 12. Fair allocation of indivisible goods Sylvain Bouveret, Yann Chevaleyre and Nicolas Maudet; 13. Cake cutting algorithms Ariel D. Procaccia; Part III. Coalition Formation: 14. Matching under preferences Bettina Klaus, David F. Manlove and Francesca Rossi; 15. Hedonic games Haris Aziz and Rahul Savani; 16. Weighted voting games Georgios Chalkiadakis and Michael Wooldridge; Part IV. Additional Topics: 17. Judgment aggregation Ulle Endriss; 18. The axiomatic approach and the internet Moshe Tennenholtz and Aviv Zohar; 19. Knockout tournaments Virginia Vassilevska-Williams.
£51.29
Cambridge University Press Military Threats
Book SynopsisIs military power central in determining which states get their voice heard in international affairs? The exercise of force is costly, so states often have trouble persuading their opponents that they would resort to arms unless their demands are met. In this book, Slantchev examines just how effective military threats are.Trade Review'This book is an impressive display of intellectual firepower. It will be required reading for anyone interested in crisis bargaining or deterrence.' R. Harrison Wagner, University of Texas, Austin'Military Threats offers the most comprehensive and sophisticated analysis of crisis bargaining and escalation I know. Full of new insights and intuitions, this book defines the cutting edge of research in one of the most important areas of formal work on war, that of endogenizing the distribution of power.' Robert Powell, Robson Professor of Political Science, University of California, BerkeleyTable of ContentsPart I. Coercion and Credibility: 1. Introduction; 2. Commitment and signalling in coercive bargaining; Part II. A Theory of Military Threats: 3. A model of military threats; 4. Comparing the instruments of coercion; Part III. Elements of Militarized Deterrence: 5. Militarization and the distribution of power and interests; 6. The expansion of the Korean War, 1950; 7. The price of peace and military threat effectiveness; Part IV. Conclusions: 8. Implications; Appendix A. Formalities for Chapter 2; Appendix B. Formalities for Chapter 3; Appendix C. Formalities for Chapter 4; Appendix D. Formalities for Chapter 5.
£29.44
Cambridge University Press Computational Social Science Discovery and Prediction Analytical Methods for Social Research
Book SynopsisQuantitative 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.Trade Review'Computational social science is either the coming or just arrived tidal wave. But how the computations part fits with social science is the most important issue that needs to be settled before this wave overtakes us all. This book does a great job in laying out some of the issues in general terms but, perhaps more importantly, showing the areas where computational social science is (not so) simply good social science.' Nathaniel Beck, New York University'Computational social science is a revolution that is sweeping us into the twenty-first century with increasingly sophisticated tools for generating insight about fundamental human behaviors, and this book reads like a Who's Who of the revolutionary vanguard. From public opinion to protest, each chapter of this superb collection of essays gives great examples of new data and new techniques for analyzing it to learn how society functions and to apply that knowledge to make our world better. This volume is a must-read for anyone who wants to understand what big data means for social scientists.' James Fowler, University of California, San Diego'This book offers a delightful sampling of some of the key issues and challenges at the center of computational social science, an emergent field often popularly referred to as 'big data'. This collection of fascinating essays offers both a conceptual overview and more detailed explanations that can delight expert and novices alike.' danah boyd, Microsoft Research and Founder, Data and Society'With big data analytics comes a complex relationship between computational social science and public policy. For social scientists, these essays will present exciting new ways to think about and leverage big data analytics. Data scientists will enjoy seeing their tricks of the trade being applied to interesting social and public policy issues.' Jeff Jonas, IBM FellowTable of ContentsPreface Gary King; Introduction R. Michael Alvarez; Part I. Computation Social Science Tools: 1. The application of big data in surveys to the study of public opinion, elections, and representation Christopher Warshaw; 2. Navigating the local modes of big data: the case of topic models Margaret Roberts, Brandon Stewart and Dustin Tingley; 3. Generating political event data in near real time: opportunities and challenges John Beieler, Patrick T. Brandt, Andrew Halterman, Philip A. Schrodt and Erin M. Simpson; 4. Network structure and social outcomes: network analysis for social science Betsy Sinclair; 5. Ideological salience in multiple dimensions Peter Foley; 6. Random forest applied to feature selection in biomedical research Daniel Conn and Christina Ramirez; Part II. Computation Social Science Applications: 7. Big data, social media, and protest: foundations for a research agenda Joshua Tucker, Jonathan Nagler, Megan Metzger, Pablo Barbera, Duncan Penfold-Brown, John Jost and Richard Bonneau; 8. Measuring representational style in the House: the Tea Party, Obama and legislators' changing expressed priorities Justin Grimmer; 9. Using social marketing and data science to make government smarter Brian Griepentrog, Sean Marsh, Sidney Carl Turner and Sarah Evans; 10. Using machine algorithms to detect election fraud Ines Levin, Julia Pomares and R. Michael Alvarez; 11. Centralized analysis of local data, with dollars and lives on the line: lessons from the home radon experience Phillip N. Price and Andrew Gelman; Conclusion. Computational social science: towards a collaborative future Hanna Wallach.
£28.99
