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  3. Mixed Methods Social Networks Research
  • Cited by 121
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    • Publisher:
      Cambridge University Press
      Publication date:
      July 2014
      June 2014
      ISBN:
      9781139227193
      9781107027923
      9781107631052
      DOI:
      https://doi.org/10.1017/CBO9781139227193
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.71kg, 406 Pages
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.56kg, 404 Pages
      • Subjects:
      Social Theory, Statistics for Social Sciences, Behavioral Sciences and Law, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Statistics and Probability, Sociology
      Series:
      Structural Analysis in the Social Sciences (36)
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    Subjects:
    Social Theory, Statistics for Social Sciences, Behavioral Sciences and Law, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Statistics and Probability, Sociology
    Series:
    Structural Analysis in the Social Sciences (36)
    Information

    Book description

    This edited volume demonstrates the potential of mixed-methods designs for the research of social networks and the utilization of social networks for other research. Mixing methods applies to the combination and integration of qualitative and quantitative methods. In social network research, mixing methods also applies to the combination of structural and actor-oriented approaches. The volume provides readers with methodological concepts to guide mixed-methods network studies with precise research designs and methods to investigate social networks of various sorts. Each chapter describes the research design used and discusses the strengths of the methods for that particular field and for specific outcomes.

    Reviews

    'In Mixed Methods Social Networks Research: Design and Applications, Silvia Domínguez and Betina Hollstein provide an inspiring volume with offerings that embrace disciplines and methods from across the social sciences. Its chapters highlight the rich insights that can be gained by adopting fully integrated mixed-method approaches for studying social networks. This transformative book is certain to stimulate a new generation of social network researchers who are comfortable with both ethnographic methods and mathematical models. A very welcome addition to the bookshelf of social network methods texts!'

    Katherine Faust - University of California, Irvine

    'This book should be on every researcher’s bookshelf. A pioneering collection on mixed methods, it recognizes that social network analysis is no mere quantitative technique. The book will be of immense relevance to the growing number of qualitative researchers seeking to use network ideas in their research. An international team of experts have provided accessible discussions of powerful and innovative applications of mixed-methods designs that will stand as standard sources for a long time to come.'

    John Scott - University of Copenhagen

    'These informative essays by network researchers from diverse social science fields focus on methodological strategies that bridge the conventional qualitative-quantitative divide. They outline and illustrate five distinct mixed-methods designs - sequential, parallel, embedded, fully integrated, and conversion - each of which offers a purposeful approach to constructing a multi-method study. Beyond articulating the strengths and capabilities of different research methods, the authors illustrate and exemplify the gains in substantive understanding of social network phenomena that can flow from using multiple research techniques in complementary and mutually enriching ways.'

    Peter V. Marsden - Edith and Benjamin Geisinger Professor of Sociology and Dean of Social Science, Harvard University

    'In the age of ‘big data’, the clever intertwining of qualitative and quantitative methods to yield insight regarding into human behavior becomes ever more important. Mixed Methods Social Networks Research, in its careful consideration of how to design mixed methods research in social networks, is destined to become a well-worn guidebook for students of social networks in the 21st twenty-first century.'

    David Lazer - Northeastern University

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