Originally published in 1930, this title brings to its conclusion a work first published, in part, in the earlier volume The Science and Method of Politics. The work was undertaken at first with a view to discovering the forces at work which form the anatomy and determine the physiology of States. However, it became apparent that not States but Society must be the object of study if any progress were to made, and if the inquiry were to be radical enough to disclose, and indicate the means of controlling, the causes which conduce to such social disorders as war. The subject might very well have been treated from a very different point of view. However, the author felt that the approach to politics from the angle of political philosophy and the humanities was less important for the needs of the time than an approach from the angle of psychology and of statistics.

First published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.

Video data is transforming the possibilities of social science research. Whether through mobile phone footage, body-worn cameras or public video surveillance, we have access to an ever-expanding pool of data on real-life situations and interactions. This book provides a flexible framework for working with video data and understanding what it says about social life. With examples from a range of real video research projects, the book showcases step-by-step how to analyse any kind of data, including both found and generated videos. It also includes a non-technical discussion of computer vision and its opportunities for social science research. With this book you will be able to: * Complete each step of the research process fully and efficiently, from data collection to management, analysis, and interpretation * Use video data in an ethical and effective way to maximise its impact * Utilise contemporary technology and accessible platforms such as YouTube, Twitter, Tik Tok and Facebook. This book is an ideal toolkit for researchers or postgraduate students across the social sciences working with video data as a part of their research projects. Accessible and practical, is written for qualitative and quantitative researchers, newcomers and experienced scholars. Features include interactive activities for different skill levels and 'what to read next' sections to help you engage further with the research mentioned in the book.

The second edition of Qualitative Research Methods for Community Development teaches the basic skills, tools, and methods of qualitative research with special attention to the needs of community practitioners. This book teaches students entering planning, community development, nonprofit management, social work, and similar applied fields the core skills necessary to conduct systematic research designed to empower communities and promote social change. Focusing on the basic elements of qualitative research, such as field observation, interviewing, focus groups, and content analysis, this second edition of this book provides an overview of core methods and theoretical underpinnings of successful research. It also includes two new chapters on qualitative data analysis software and techniques for conducting online qualitative interviews and focus groups. From housing, community organizing, neighborhood planning, and urban revitalization, this book gives students the skills they need to undertake their own projects and provides professionals a valuable reference for their future research. This book serves as a primary text for courses in applied qualitative research and as a reference book for professionals and community-based researchers.

'A statistical national treasure' Jeremy Vine, BBC Radio 2 'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular Science Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science. Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. 'Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world' Nature

Clear, comprehensive, and trusted, Bryman's Social Research Methods has supported over a quarter of a million students through their research methods course and research project. Spanning theory and practice and covering quantitative, qualitative, and mixed methods, this bestselling text offers unrivalled coverage of the whole research process. The authors have worked closely with lecturers and students in thoroughly updating the sixth edition to reflect the current social science landscape, and carefully streamlining content to make it relevant and appealing to today's students. As a result, the text's comprehensive coverage - which includes many new examples and additional material on areas such as social media research and big data - is now even clearer, more focused, and easier to navigate. In addition to many new examples of published research, this edition features the insights of a panel of recent graduates from their experiences of researching a variety of fascinating topics, including attitudes towards the LGBT+ community on social media, the experiences of Pakistani Muslim single mothers, and the impact of screen time on sleep. 'Learn from experience' boxes in every chapter contain their candid reflections on the successes and challenges of their projects, and their advice for student researchers. Digital formats and resources Bryman's Social Research Methods is available for students and institutions to purchase in a variety of formats, and is supported by extensive online resources. The e-book offers a mobile experience and convenient access, with learning resources embedded and hyperlinked throughout to offer self-assessment activities and extra support: www.oxfordtextbooks.co.uk/ebooks The student resources, accessible both online and via the e-book, include: - Over 300 multiple choice questions - A 'Research process in practice' simulation - Student researcher's toolkit - Answers to the end-of-chapter questions, including audio commentary from the authors - A flashcard glossary - Data analysis software tutorials covering SPSS, NVivo, R, and Stata - Guidance on using Excel in data analysis - 'Learn from experience' videos, expanding on the graduate insights provided in the book - Regularly-updated video reflections from the authors on the impact of the Covid-19 pandemic on social research The book's teaching resources, accessible online to adopting lecturers, include: - PowerPoint slides for every chapter - 250 test bank questions - 25 seminar outlines - 75 exam- or coursework-based questions - Figures and tables from the book

Originally published in 1982, this book describes those basic ideas and techniques of statistics which should be known to every social scientist. The explanations are given in careful detail at a level of mathematical sophistication which will be readily attainable by students meeting statistical methods for the first time. All the methods described are applied to, and sometimes are motivated by, genuine problems of interest arising in sociology, social policy, politics or human geography. The authors often provide a meaningful discussion of the substantive problem itself in addition to an analysis of the statistical techniques being used on it. In this way subject matter and statistical techniques are integrated in an original and effective manner. The authors combine considerable experience of shared teaching of social statistics with familiarity with its use in practical fields and in research. Their book therefore focuses on the most directly applicable methods and is carefully sequenced to promote rapid student understanding. The topic of probability - which so often confuses students - is here dealt with simply yet thoroughly. The chapter on the sources of social statistics, whilst being unusual in a text of this kind, is particularly welcome and comprehensively meets the needs of students on a wide range of courses. Introducing Social Statistics will make the vitally important field of statistics accessible to all students of the social sciences.

With a clear, engaging writing style and fascinating examples using a variety of real data, this text covers the contemporary statistical techniques that students will encounter in the world of social research. It covers these techniques at an introductory level and carefully guides students through increasingly complex examples without intimidating them. Recurrent examples using four timely topics-health, immigration, income inequality, and everyday harassment-help students understand how the techniques fit together, and how to use the techniques in combination with one another. A superb author-created web resource accompanies the text. How to make clear presentations of research results is also a feature of the text. New to this edition: New research shows how the techniques has changed over time in the academic literature, showing students that social scientists really do use the statistical techniques the book teaches and giving them ample motivation to learn the techniques. Examples throughout the book use the most recent data from the General Social Survey. Four timely topics are threaded throughout the book: immigration, health, income inequality, and everyday harassment. Linneman uses these topics recurrently with different statistical techniques to illustrate how the techniques are related to one another. The new edition more explicitly emphasizes that the various techniques the students are learning are often used in combination with one another. After introducing a new technique and showing how to use it on its own, Linneman then systematically offers examples of how to combine that technique with techniques students learned in previous chapters. Most of the literature examples that end each chapter are new and use very recent research from top academic journals (three quarters from 2015 or later, nearly half from 2019). They feature research that covers timely topics such as Black Lives Matter, transgender health, social media, police behavior, and climate change. The SPSS demonstrations are completely redone, both in the book and on the website's demonstration videos, using more recent data. Linneman applies his experience teaching his own students SPSS (knowing where students get confused) to clarify his explanations in these demonstrations.

Nearly 20% of the population has a disability. Despite this, mainstream research often does not explicitly address the methodological and practical issues that can act as barriers to disabled people's participation in social research. In this book, Aidley and Fearon provide a concise, practical introduction to making it easier for everyone to take part in research. Requiring no prior knowledge about accessible research methods, the book: * explains how removing barriers to participation will improve the quality of the research; * covers the research process from design, to collecting data, to dissemination and publication; * includes checklists and further reading, as well as useful examples and vignettes to illustrate how issues play out in practice. This book will be invaluable to researchers from a variety of backgrounds looking to increase participation in their research, whether postgraduate students, experienced academic researchers, practitioners or professionals.

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews. Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.

With today's social and geopolitical order in significant flux this project offers vital insight into the future global order by comparatively charting national media perceptions regarding the future of global competition, through the lens of Ontological Security (OS). The authors employ a mixed-method approach to analyze 620 news articles from 47 Russian, Chinese, Venezuelan, and Iranian news sources over a five-year period (2014-2019), quantitatively comparing the drivers of their visions while providing in-depth qualitative case studies for each nation. Not only do these narratives reveal how these four nations understand the current global order, but also point to their (in)flexibility and agentic capacity for reflection in adapting, even shaping the future order, and their identity-roles within it, around an economic and diplomatic battleground. The authors argue these narratives create trajectories with inertial effects grounded in their OS needs, providing enduring insights into their behavior and interests moving into the future. The Future of Global Coopetition will help readers understand how influential nations typical aligned in opposition to the US, envision the drivers of global competition and the make-up of the future international system. Those engaged in the study of media, global politics, international relations, and communication will find this book to be a critical source.

- puts forward the most comprehensive assessment of the relationship between mass shootings and background checks to date. -While scholars have carried out both quantitative analyses and case studies of mass shootings on this topic, no books exist on this topic and peer reviewed articles have thus far failed to account for why a historical increase in societal armament arose in the first place, have not fully identified causal mechanisms and pathways that link mass shootings to gun purchases, and have treated the proposed causal relationship as being linear in nature. - takes a multi-methodological approach comprised of case studies, quantitative analysis, and qualitative comparative analysis (QCA) to offer a transparent, well rounded inquiry on the mass shootings-background check nexus,. -provides readers with several different perspectives through which to consider the prominence of this vastly important empirical trend, and importantly, classifies the pathways, processes, and mechanisms that link mass shootings to post-shooting increases in gun purchases

1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks.

1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks.

1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks. 4. Covers important and emergent topics in the field like the relationship between CSS, AI and machine learning.

This book seeks to chart and evaluate the impact of social research on the military itself. By "impact", the authors in this volume simply mean that which has a marked effect or influence on changing military policy, practices, knowledge, skills, behaviour, or living conditions. The book comprises a series of reflective contributions from scholars who have conducted research on the military as external scholars with no formal ties to the armed forces, as "native" researchers formally linked to them, as well as various kinds of contracted social scientists enabled by the military to carry out their investigations. The authors were asked to make the question of the impact of social scientific research on the armed forces an object of study in itself and to situate their reflections in terms of wider analytical questions. As a result, the chapters can be divided, broadly speaking, into two types of orientation: some are centered on theoretical and analytical issues, while others focus on the researchers' lived experiences. This book will be of interest to students of military studies, sociology, organisational studies, psychology and political science.

Health Policy presents the key classic and contemporary articles and will be an important source of reference for health care professionals, academics and policymakers. It sheds light on the values and socio-political factors which underpin health policy, and will be invaluable in helping to assess and compare policymaking processes in different countries. The volume is divided into six sections and within each section the articles are presented chronologically. Thus the selection is suitable for both the beginner and the more advanced student; the beginner will benefit from the earlier readings by observing their cumulative impact on later writings, while the more advanced student may find the more up-to-date articles of particular interest. Section I introduces several basic values which underlie all health policies; section II reviews the socio-economic and political factors in health policy; section III deals with the experience and practice of American health care while section IV offers comparisons with other countries in Europe and also with Japan. Section V examines the opportunities and constraints for countries' learning from each other and finally section VI raises methodological issues and indicates the challenges which must be addressed in the future.

"This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!" -Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldana's Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix's annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers "think display," their analyses of social life capture the complex and vivid processes of the people and institutions studied.

Computational approaches offer exciting opportunities for us to do social science differently. This beginner's guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.

Perfect for any statistics student or researcher, this book offers hands-on guidance on how to interpret and discuss your results in a way that not only gives them meaning, but also achieves maximum impact on your target audience. No matter what variables your data involves, it offers a roadmap for analysis and presentation that can be extended to other models and contexts. Focused on best practices for building statistical models and effectively communicating their results, this book helps you: - Find the right analytic and presentation techniques for your type of data - Understand the cognitive processes involved in decoding information - Assess distributions and relationships among variables - Know when and how to choose tables or graphs - Build, compare, and present results for linear and non-linear models - Work with univariate, bivariate, and multivariate distributions - Communicate the processes involved in and importance of your results.

1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks. 4. Covers important and emergent topics in the field like the relationship between CSS, AI and machine learning.

Mathematics instructors are always looking for ways to engage students in meaningful and authentic tasks that utilize mathematics. At the same time, it is crucial for a democratic society to have a citizenry who can critically discriminate between "fake" and reliable news reports involving numeracy and apply numerical literacy to local and global issues. This book contains examples of topics linking math and social justice and addresses both goals. There is a broad range of mathematics used, including statistical methods, modeling, calculus, and basic algebra. The range of social issues is also diverse, including racial injustice, mass incarceration, income inequality, and environmental justice. There are lesson plans appropriate in many contexts: service-learning courses, quantitative literacy/reasoning courses, introductory courses, and classes for math majors. What makes this book unique and timely is that the most previous curricula linking math and social justice have been treated from a humanist perspective. This book is written by mathematicians, for mathematics students. Admittedly, it can be intimidating for instructors trained in quantitative methods to venture into the arena of social dilemmas. This volume provides encouragement, support, and a treasure trove of ideas to get you started. The chapters in this book were originally published as a special issue of the journal, PRIMUS: Problems, Resources, and Issues in Mathematics Undergraduate Studies.

This book explores common ethical issues faced by human geographers in their research. It offers practical guidance for research planning and design that incorporates geographic disciplinary knowledge to conceptualise research ethics. The volume brings together international insights from researchers in geography and related fields to provide a comprehensive overview of relevant ethical frameworks and challenges in human geography research. It includes in-depth reflections on a range of ethical dilemmas that arise in certain contextual conditions and spatial constructions that face those researching and teaching on spatial dimensions of social life. With a focus on the increased need for specialist ethics training as part of postgraduate education in the Humanities and Social Sciences and the necessity for fostering sensitivity in cross-cultural comparative research, the book seeks to enable people to engage in ethical decision-making and moral reasoning while conducting research. Chapters examine the implications of geographical research for conceptualising ethics and discuss specific case studies from which more general conclusions, linked to conceptual debates, are drawn. As a research-based reference guide for tackling ethically sensitive projects and international differences in legal and institutional standards and requirements, the book is useful for postgraduate and undergraduate students as well as academics teaching at senior levels.

Drawing from decades of research, Setha Low shows how public space contributes to a flourishing society through promoting social justice and democratic practices. Thriving public spaces also enhance creativity, health, urban resilience, and environmental sustainability. Yet more than ever, public spaces across the world are threatened by urban development, privatization and neglect. Public spaces - where people from all walks of life play, work, meet, talk, read, think, debate, and protest - are vital to a healthy civic life. And, as the eminent scholar of public space Setha Low argues in Why Public Space Matters, even fleeting moments of visibility and encounter in these spaces tend to foster a broader worldview and our willingness to accept difference. Such experiences also enhance flexible thinking, problem solving, creativity, and inclusiveness. There are many such spaces, but they all enhance social life. Sidewalks and plazas offer business opportunities for small-scale entrepreneurs who cannot afford store space. Public parks have long provided major cultural attractions, from plays to concerts, at little or no cost to the public. Central squares have a storied tradition as arenas for demonstrations and political protests. Parks and waterways create sustainable greenways, and during disasters, all manner of public spaces become centers for food delivery and shelter. To illustrate their value, Low draws from decades of research in public spaces across the Americas, from New York to Costa Rica. Yet we are losing public spaces to accelerated urban development and the belief that public spaces are expendable. Just as important is the broad-scale and ongoing privatization of public space by corporate actors. Low explores why public spaces matter today, how they are at risk, and what we can do about protecting these essential places that support our everyday lives. Finally, she shows how we can work to promote public space protection and expansion at both the grassroots and global levels. Throughout, she focuses on real public spaces and the people who use them in cities and regions across the Americas, from New Jersey to Costa Rica. A powerful, defining statement on a foundational contributor to healthy civic life, Low's book not only details what we are at risk of losing, but shows us how we can not only stop the losses, but work to expand the number of spaces available to the public.

In the past, happiness studies has been dominated by the work of philosophers, economists and psychologists, but more recently there has been a growing interest from social scientist into the natures of happiness and wellbeing. This original collection draws on the latest empirical research to explore the practical challenges facing happiness researchers today, such as how to conduct happiness research in different cultural contexts, how to theorise wellbeing or how to operationalise definitions of happiness in qualitative and biographical research. By uniquely combining the critical approach of sociology with techniques from other disciplines, the contributors illuminate new approaches to the study of happiness and well-being.