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Analyzing Group Interactions gives a comprehensive overview of the
use of different methods for the analysis of group interactions.
International experts from a range of different disciplines within
the social sciences illustrate their step-by-step procedures of how
they analyze interactions within groups and explain what kind of
data and skills are needed to get started. Each method is discussed
in the same, structured manner, focusing on each method's strengths
and weaknesses, its applicability and requirements, and the precise
workflow to "follow along" when analyzing group interactions with
the respective method. The analyzing strategies covered in this
book include ethnographical approaches, phenomenology, content
analysis, documentary method, discourse analysis, grounded theory,
social network analysis, quantitative ratings, and several
triangulative and mixed-method research designs. This volume is
recommended for researchers at all levels that need guidance with
the complex task of analyzing group interactions. The unified
structure throughout the book facilitates comparison across the
different methods and helps with deciding on the approach to be
taken.
Analyzing Group Interactions gives a comprehensive overview of the
use of different methods for the analysis of group interactions.
International experts from a range of different disciplines within
the social sciences illustrate their step-by-step procedures of how
they analyze interactions within groups and explain what kind of
data and skills are needed to get started. Each method is discussed
in the same, structured manner, focusing on each method's strengths
and weaknesses, its applicability and requirements, and the precise
workflow to "follow along" when analyzing group interactions with
the respective method. The analyzing strategies covered in this
book include ethnographical approaches, phenomenology, content
analysis, documentary method, discourse analysis, grounded theory,
social network analysis, quantitative ratings, and several
triangulative and mixed-method research designs. This volume is
recommended for researchers at all levels that need guidance with
the complex task of analyzing group interactions. The unified
structure throughout the book facilitates comparison across the
different methods and helps with deciding on the approach to be
taken.
Mixed Methods Social Network Analysis brings together diverse
perspectives from 42 international experts on how to design,
implement, and evaluate mixed methods social network analysis
(MMSNA). There is an increased recognition that social networks can
be important catalysts for change and transformation. This edited
book from leading experts in mixed methods and social network
analysis describes how researchers can conceptualize, develop, mix,
and intersect diverse approaches, concepts, and tools. In doing so,
they can improve their understanding and insights into the complex
change processes in social networks. Section 1 includes eight
chapters that reflect on "Why should we do MMSNA?", providing a
clear map of MMSNA research to date and why to consider MMSNA. In
Section 2 the remaining 11 chapters are dedicated to the question
"How do I do MMSNA?", illustrating how concentric circles, learning
analytics, qualitative structured approaches, relational event
modeling, and other approaches can empower researchers. This book
shows that mixing qualitative and quantitative approaches to social
network analysis can empower people to understand the complexities
of change in networks and relations between people. It shows how
mixed analysis can be applied to a wide range of data generated by
diverse global communities: American school children, Belgian
teachers, Dutch medical professionals, Finnish consultants, French
school children, and Swedish right-wing social media users, amongst
others. It will be of great interest to researchers and
postgraduate students in education and social sciences and mixed
methods scholars.
Mixed Methods Social Network Analysis brings together diverse
perspectives from 42 international experts on how to design,
implement, and evaluate mixed methods social network analysis
(MMSNA). There is an increased recognition that social networks can
be important catalysts for change and transformation. This edited
book from leading experts in mixed methods and social network
analysis describes how researchers can conceptualize, develop, mix,
and intersect diverse approaches, concepts, and tools. In doing so,
they can improve their understanding and insights into the complex
change processes in social networks. Section 1 includes eight
chapters that reflect on "Why should we do MMSNA?", providing a
clear map of MMSNA research to date and why to consider MMSNA. In
Section 2 the remaining 11 chapters are dedicated to the question
"How do I do MMSNA?", illustrating how concentric circles, learning
analytics, qualitative structured approaches, relational event
modeling, and other approaches can empower researchers. This book
shows that mixing qualitative and quantitative approaches to social
network analysis can empower people to understand the complexities
of change in networks and relations between people. It shows how
mixed analysis can be applied to a wide range of data generated by
diverse global communities: American school children, Belgian
teachers, Dutch medical professionals, Finnish consultants, French
school children, and Swedish right-wing social media users, amongst
others. It will be of great interest to researchers and
postgraduate students in education and social sciences and mixed
methods scholars.
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