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"Abernathy provides a truly accessible and interdisciplinary introduction to geodata and geolocation covering both the conceptual and the practical. It is a must read for students or researchers looking to make the most of the spatial elements of their data" - Luke Sloan, Senior Lecturer in Quantitative Methods, Cardiff University Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World provides an engaging and accessible introduction to the Geoweb with clear, step-by-step guides for: Capturing Geodata from sources including GPS, sensor networks and Twitter Visualizing Geodata using programmes including QGIS, GRASS and R Featuring colour images, practical exercises walking you through using data sources, and a companion website packed with resources, this book is the perfect guide for students and teachers looking to incorporate location-based data into their social science research.
"Abernathy provides a truly accessible and interdisciplinary introduction to geodata and geolocation covering both the conceptual and the practical. It is a must read for students or researchers looking to make the most of the spatial elements of their data" - Luke Sloan, Senior Lecturer in Quantitative Methods, Cardiff University Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World provides an engaging and accessible introduction to the Geoweb with clear, step-by-step guides for: Capturing Geodata from sources including GPS, sensor networks and Twitter Visualizing Geodata using programmes including QGIS, GRASS and R Featuring colour images, practical exercises walking you through using data sources, and a companion website packed with resources, this book is the perfect guide for students and teachers looking to incorporate location-based data into their social science research.
Covering context, concepts, and theories, as well as the practice of how to capture and visualise geodata, this text introduces readers to the Geoweb and how best to incorporate location-based data into research.
The author is a proud sponsor of the 2020 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop. Understanding the Social World: Research Methods for the 21st Century is a concise and accessible introduction to the process and practice of social science research. Fast-paced and visually engaging, the text crosses disciplinary and national boundaries, pays special attention to concern for human subjects, and focuses on the application of results. As it rises to the requirements of a world shaped by big data and social media, Instagram and avatars, blogs and tweets, the text also confronts the research challenges posed by cell phones, privacy concerns, linguistic diversity, and multicultural populations. The Second Edition discusses newly-popular research methods, highlights the fascinating work being conducted by contemporary social researchers, and includes enhanced tools for learning in the text and online. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.
This bestselling text introduces social science research methods through interesting examples drawn from formal social science investigations and everyday experiences. The many updates to the Seventh Edition include new examples from the academic literature and news media, new ethics guidance, and current statistical data incorporated throughout including from the 2022 General Social Survey. This edition is also available on the Sage Vantage learning platform.
To analyse social and behavioural phenomena in our digitalized world, it is necessary to understand the main research opportunities and challenges specific to online and digital data. This book presents an overview of the many techniques that are part of the fundamental toolbox of the digital social scientist. Placing online methods within the wider tradition of social research, Giuseppe Veltri discusses the principles and frameworks that underlie each technique of digital research. This practical guide covers methodological issues such as dealing with different types of digital data, construct validity, representativeness and big data sampling. It looks at different forms of unobtrusive data collection methods (such as web scraping and social media mining) as well as obtrusive methods (including qualitative methods, web surveys and experiments). Special extended attention is given to computational approaches to statistical analysis, text mining and network analysis. Digital Social Research will be a welcome resource for students and researchers across the social sciences and humanities carrying out digital research (or interested in the future of social research).
The updated Tenth Edition of this bestselling text provides students with the critical skills necessary to evaluate and carry out research. Each chapter integrates instruction in the core research methods with investigation of interesting aspects of the social world, including updated examples to reflect the tumultuous world since 2020. As always, the book seeks to communicate the excitement of social research and the importance of carefully evaluating the methods used in that research.
We now live in a world where all aspects of everyday life are thoroughly mediated by digital technologies. Making sense of digital life is accordingly an essential undertaking for social science and humanities scholars. This multidisciplinary book provides an essential guide to researching digital life: Orienting readers with respect to methodologies, research design, and research ethics. Detailing key research methods, including interviews, surveys, ethnographies, walking methodologies, arts-based and participatory approaches, historical analysis, data visualisation, mapping and data analytics. Demonstrating these methods in action in real-world studies that have investigated apps and interfaces, social and locative media, mobilities, smart cities, and digital labour and work. The authors provide: • Non-Eurocentric perspectives and case studies from diverse disciplines • Annotated further reading to help you situate your research alongside existing research in your field • An outline of future directions for researching digital life. Accessible in style and richly illustrated, the chapters provide a wealth of key insights and practical information to ensure research projects are successfully planned and implemented.
Social Media and Society brings together a range of scholars working at the intersection of discourse studies, digital media, and society. It is meant to respond to changes in discourse technologies, i.e. the techno-discursive dynamic of social media discourses. The book critically engages with the digital dynamics of representations around discourses of identity, politics, and culture. Other than its topical focus on highly pertinent discourses, the book aspires to offer some fresh insights into the theory, methods, and implementation of CDS in digital environments. The book can be viewed as part of the developing research framework of Social Media Critical Discourse Studies which seeks to integrate the impact of new mediation technologies on discursive meaning-making with its critical contextualisation. In addition to its strongly global outlook, the book incorporates a wide range of research perspectives including CDA, sociolinguistics, political discourse studies, media and technology, discourse theory, popular culture, feminism etc.
This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and human action, and interaction. Agent-Based Models (ABM) - computational models which simulate human action and interaction – do just that. This textbook explains how to design and build ABM and how to link the models to Geographical Information Systems. It guides you from the basics through to constructing more complex models which work with data and human behaviour in a spatial context. All of the fundamental concepts are explained and related to practical examples to facilitate learning (with models developed in NetLogo with all code examples available on the accompanying website). You will be able to use these models to develop your own applications and link, where appropriate, to Geographical Information Systems. All of the key ideas and methods are explained in detail: geographical modelling; an introduction to ABM; the fundamentals of Geographical Information Science; why ABM and GIS; using QGIS; designing and building an ABM; calibration and validation; modelling human behavior. An applied primer, that provides fundamental knowledge and practical skills, it will provide you with the skills to build and run your own models, and to begin your own research projects.