Conducting Personal Network Research: A Practical Guide (Methodology in the Social Sciences) (Paperback)

Conducting Personal Network Research: A Practical Guide (Methodology in the Social Sciences) By Christopher McCarty, PhD, Miranda J. Lubbers, PhD, Raffaele Vacca, PhD, José Luis Molina, PhD Cover Image

Conducting Personal Network Research: A Practical Guide (Methodology in the Social Sciences) (Paperback)


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Written at an introductory level, and featuring engaging case examples, this book reviews the theory and practice of personal and egocentric network research. This approach offers powerful tools for capturing the impact of overlapping, changing social relationships and contexts on individuals' attitudes and behavior. The authors provide solid guidance on the formulation of research questions; research design; data collection, including decisions about survey modes and sampling frames; the measurement of network composition and structure, including the use of name generators; and statistical modeling, from basic regression techniques to more advanced multilevel and dynamic models. Ethical issues in personal network research are addressed. User-friendly features include boxes on major published studies, end-of-chapter suggestions for further reading, and an appendix describing the main software programs used in the field.
Christopher McCarty, PhD, is Professor and Chair of Anthropology at the University of Florida, where he is also Director of the Bureau of Economic and Business Research. He has done research on personal networks since the 1980s and is the developer of EgoNet, the first program for the collection and analysis of personal network data. Dr. McCarty has conducted studies of migration, disasters, substance abuse, homelessness, and racism. Along with his coauthors, he conducted the largest personal network study of migrants to date, using data from Spain and the United States.
Miranda J. Lubbers, PhD, is Associate Professor in the Department of Social and Cultural Anthropology at the Universitat Autònoma de Barcelona, Spain, and Director of the Research Group on Fundamental and Oriented Anthropology. Dr. Lubbers has investigated personal networks in the area of migration and transnationalism, poverty and livelihood strategies, and social cohesion in Spain. Currently she directs two research projects using personal networks. She also co-organizes a biennial international summer school in Personal Network Analysis.
Raffaele Vacca, PhD, is Research Assistant Professor of Sociology at the University of Florida. Dr. Vacca designed and conducted one of the first personal network surveys among international migrants in Italy. In the past few years he has taught courses and workshops on quantitative methods and statistical software for social network analysis at several international conferences and universities in Europe, the United States, and Latin America. His current interests focus on international migration, health disparities, social networks, and science and scientific collaboration.
José Luis Molina, PhD, is Associate Professor in the Department of Social and Cultural Anthropology at the Universitat Autònoma de Barcelona, Spain. He is also president of the University's Research Ethics Committee. Dr. Molina is an economic anthropologist who studies the emergence of socioeconomic structures such as migrant enclaves and transnational fields. He is interested in mixed-methods approaches combining ethnography and personal network analysis, with a focus on Southeast Europe, and Romania in particular.
Product Details ISBN: 9781462538386
ISBN-10: 146253838X
Publisher: The Guilford Press
Publication Date: April 1st, 2019
Pages: 270
Language: English
Series: Methodology in the Social Sciences
"Spectacular. The writing is clear, accessible, and succinct, yet unusually comprehensive. The book covers most of what any researcher new to this important kind of analysis would want to know, such as how to think about research questions, conduct research ethically, and collect data effectively. But this book is not only for beginners--experienced researchers will find it a useful reference on many important issues, such as the precise ways that different question wordings in surveys can affect results, and the strengths and benefits of different visualization strategies."--Mario Luis Small, PhD, Grafstein Family Professor of Sociology, Harvard University

"This is the best applied textbook on social network analysis I have read. It covers everything from planning and conducting a network study to using network analysis to answer network-specific questions. It provides real-life examples and conceptual explanations in clear, understandable language. The book offers the perfect balance of foundational knowledge of network processes and practical tips for examining them. This is a 'must read' for anyone embarking on network research."--Leslie Echols, PhD, Department of Psychology, Missouri State University

"A sound, well-written, and authoritative guide on how to do (and interpret) personal network research. The book nicely links personal network analysis to broader methodological approaches. I really like the boxed research case examples. I recommend this book and will use it both in teaching and professionally.”--Barry Wellman, PhD, Director, NetLab Network, Toronto, Canada

"This is an exciting book because it can be used by so many. Researchers new to personal network analysis get definitions, concepts, and design help that will get them going and carry them a long way. At the same time, the book has nuggets that even the most experienced in the field will value. The authors know well many of the methodological issues regarding social network analysis, and have made important contributions, specifically regarding the measurement of networks, the use of multilevel models, and generation of network visualizations. But they also know fieldwork and the deeper scientific issues and challenges that often accompany methodological decisions. This is evidence-based practice at its best. I will immediately recommend this book to several of my students engaging in analysis of personal networks, as well as others who will benefit from specific chapters. I can think of several projects in the past that would have benefited from this book. I am thrilled that it is here now."--Ken Frank, PhD, MSU Foundation Professor of Sociometrics, Department of Counseling, Educational Psychology, and Special Education, Michigan State University

"The book describes the breadth of research in the field. It walks the reader through the process of creating a personal network, typically through a name generator, and addresses important conceptual considerations and pitfalls. I'm a big fan of the boxed examples throughout the book; they tend to summarize really interesting findings. The authors impart a great deal of wisdom and provide enough information to work from initial conceptualization to analysis and presentation of results.”--Bernie Hogan, PhD, Senior Research Fellow, Oxford Internet Institute, University of Oxford, United Kingdom

"This is an ideal introductory book for graduate students and researchers interested in studying personal networks. The authors provide great illustrations and case studies of personal networks and why they matter to many outcomes of interest, across fields as diverse as sociology, organizational science, and public health. Descriptions of the challenges that often arise when studying personal networks--and the pros and cons of various solutions--will doubtless help readers make informed decisions when planning their own research."--Kayla de la Haye, PhD, Department of Preventive Medicine, Keck School of Medicine, University of Southern California

"Written by leading, accomplished scholars, this is a rich how-to guide for students seeking to conduct network analysis. In particular, the book explains well the care--both conceptual and practical--that must be taken to best construct and measure the qualities of social ties."--Claude S. Fischer, PhD, Professor of the Graduate School, Department of Sociology, University of California, Berkeley