Essential Ethnographic Methods akes a mixed methods approach to introducing the fundamental, face-to-face data collection tools that ethnographers and other qualitative researchers use.
Egocentric network analysis is used widely across the social sciences, especially in anthropology, political science, economics, and sociology, and is increasingly being employed in communications, informatics, and business and marketing studies. Egocentric network analysis requires a unique set of data collection and analysis skills that overlap only minimally with other network methodologies. However, until now there has been no single reference for conceptualizing, collecting, and analyzing egocentric social network data. This comprehensive guide to study design, data collection, and analysis brings together the state of knowledge with the most effective research tools to guide newcomers to this field. It is illustrated with many engaging examples and graphics and assumes no prior knowledge. Covering the entire research process in a logical sequence, from conceptualizing research questions to interpreting findings, this volume provides a solid foundation for researchers at any stage of their career to learn and apply ego network methods.
In addition to the traditional use of participant observation, interviews, and surveys, qualitative researchers have developed a variety of other methods to obtain information in their studies. Visual data from film and still photographs are now supplemented with video and computer techniques and are used in many settings. Focused group interviews, once in the domain of market researchers, are now regularly used by qualitative researchers as well. Elicitation techniques, such as triads, pile sorts, and freelists, originally developed by cognitive anthropologists have been widely adopted to help understand the inner workings of the members of a group. In this brief volume, these three sets of methods are explained in simple, practical language. The authors describe when and how to use these sets of techniques for community research, market research, and formative evaluation and other health, social welfare, and educational settings both domestically and internationally.
This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: • Discusses measures and techniques for analyzing social network data, including digital media • Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks • Offers digital resources like practice datasets and worked examples that help you get to grips with R software
Designed to walk beginners through core aspects of collecting, visualizing, analyzing, and interpreting social network data, this book will get you up-to-speed on the theory and skills you need to conduct social network analysis. Using simple language and equations, the authors provide expert, clear insight into every step of the research process—including basic maths principles—without making assumptions about what you know. With a particular focus on NetDraw and UCINET, the book introduces relevant software tools step-by-step in an easy to follow way. In addition to the fundamentals of network analysis and the research process, this Second Edition focuses on: Digital data and social networks like Twitter Statistical models to use in SNA, like QAP and ERGM The structure and centrality of networks Methods for cohesive subgroups/community detection Supported by new chapter exercises, a glossary, and a fully updated companion website, this text is the perfect student-friendly introduction to social network analysis.
The first book demonstrating how to apply the principles of social network analysis to managing complex projects This groundbreaking book gets project managers and students up to speed on state-of-the-art applications of social network analysis (SNA) for observing, analysing, and managing complex projects. Written by an expert at the leading edge of the SNA project management movement, it clearly demonstrates how the principles of social network analysis can be used to provide a smarter, more efficient, holistic approach to managing complex projects. Project managers, especially those tasked with managing large, complex construction and engineering projects, traditionally have relied upon analysis and decision-making based upon hierarchical structures and vaguely defined project systems, much of which is borrowed from historic scientific management approaches. However, it has become apparent that a more sophisticated methodology is required for observing project systems and managing relationships with today’s more knowledgeable and demanding clients. Social network analysis (SNA) provides just such an approach. Unfortunately, existing books on social network analysis are written primarily for sociologists and mathematicians, with little or no regard for the needs of project managers — until now. The first and only book of its kind, Managing Networks in Project-Based Organisations: Offers a framework and a fully-developed approach to applying SNA theory and methodologies to large, complex projects Describes highly effective strategies and techniques for managing the iterative and transient relationships between network-defining actor roles involved in the delivery of complex projects Uses numerous real-world examples and case studies of successful applications of SNA to large-scale construction and engineering projects around the world Draws on its author’s decades of experience managing complex projects for demanding clients, as well as his extensive academic research in Project Management Managing Networks in Project-Based Organisations is an important working resource for project management professionals and consultants, especially those serving the construction and engineering industries. It is also an excellent text/reference for postgraduate students of project management and supply chain management, as well as academic researchers of project management.
Migraine is a complex neurological disorder that is characterized by a complex neurobiology, clinical features that may overlap with over 300 causes of headache, and an association with major medical illnesses and comorbid diseases. This books draws upon the authors' vast clinical experience and exhaustive knowledge of the science of migraine and the practice of headache medicine and provides this knowledge in a comprehensive yet digestible format. While migraine is often a subject in other textbooks on headache, it is the sole focus of this volume. The authors provide an up-to-date overview of the evidence base and combine this with their experience and expertise to help practitioners make informed treatment decisions. This book also provides a glimpse into the future describing new treatment modalities, including neurostimulation technologies and biologics that are emerging as potentially valuable treatment options. The authors also deal extensively with the unique and complex management of migraine in women throughout the reproductive life cycle. For those looking for a practical, insightful, and in-depth review on the subject of migraine, there is no other option.
The Music Export Business examines the workings of the fast-changing world of music industry exports. The music industry is in a state of flux, resulting from changes in technology, markets, government policies and most recently the COVID-19 pandemic. In analysing the ability of organisations to access international markets from inception, this book assesses global trends in music industry business models, including streaming and national export policies. The book deploys author interviews with industry insiders including musicians, managers, record labels and government stakeholders, using case studies to highlight cultural and economic value creation in a global value chain Providing research-based insights into "export readiness" in the global music industry, this book reassesses the "born global" phenomenon, providing a unique and valuable resource for scholars and reflective practitioners interested in the evolving relationship between music industries, national economies, government policies and cultural identity. .
Designed to walk beginners through core aspects of collecting, visualizing, analyzing, and interpreting social network data, this book will get you up-to-speed on the theory and skills you need to conduct social network analysis. Using simple language and equations, the authors provide expert, clear insight into every step of the research process—including basic maths principles—without making assumptions about what you know. With a particular focus on NetDraw and UCINET, the book introduces relevant software tools step-by-step in an easy to follow way. In addition to the fundamentals of network analysis and the research process, this Second Edition focuses on: Digital data and social networks like Twitter Statistical models to use in SNA, like QAP and ERGM The structure and centrality of networks Methods for cohesive subgroups/community detection Supported by new chapter exercises, a glossary, and a fully updated companion website, this text is the perfect student-friendly introduction to social network analysis.
This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: • Discusses measures and techniques for analyzing social network data, including digital media • Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks • Offers digital resources like practice datasets and worked examples that help you get to grips with R software
Kickstart your research with this practical, bestselling guide to doing social network analysis. Get to grips with the mathematical foundations and learn how to use software tools such as NeTDraw and UNICET to reach your research goals. Supporting you step-by-step through the entire research process, from design and data collection to coding, visualisation, and analysis, the book also offers: • Case studies and examples using real data • Exercises drawn from the authors’ decades of teaching experience • Online access to datasets, worked examples and a software manual to help you practice your skills. Whether you are new to social network analysis or an experienced researcher, this approachable book is your technical toolbox and research companion all in one.
An in-depth, comprehensive and practical guide to egocentric network analysis, focusing on fundamental theoretical, research design, and analytic issues.
In addition to the traditional use of participant observation, interviews, and surveys, qualitative researchers have developed a variety of other methods to obtain information in their studies. Visual data from film and still photographs are now supplemented with video and computer techniques and are used in many settings. Focused group interviews, once in the domain of market researchers, are now regularly used by qualitative researchers as well. Elicitation techniques, such as triads, pile sorts, and freelists, originally developed by cognitive anthropologists have been widely adopted to help understand the inner workings of the members of a group. In this brief volume, these three sets of methods are explained in simple, practical language. The authors describe when and how to use these sets of techniques for community research, market research, and formative evaluation and other health, social welfare, and educational settings both domestically and internationally.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.