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Linking Quantitative and Qualitative Network Approaches

A Review of Mixed Methods Social Network Analysis in Education Research

Datos Bibliográficos

ID21423490
AutoresDominik E Froehlich (0000-0002-9991-2784, University of Vienna), Sara Van Waes (0000-0003-3789-7838, University of Antwerp), Hannah Schäfer (University of Vienna)
Año2020
Volumen44
Número1
Páginas244-268
Fecha de publicación2020-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaReview of Research in Education (JOURNAL)
Identificadores de la revistaISSN: 0091-732X • E-ISSN: 1935-1038
EditorialAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/0091732x20903311
OpenAlexW3018657420
IdiomaEN
Citas recibidas46
Referencias citadas94

Social network analysis (SNA) is becoming a prevalent method in education research and practice. But criticism has been voiced against the heavy reliance on quantification within SNA. Recent work suggests combining quantitative and qualitative approaches in SNA—mixed methods social network analysis (MMSNA)—as a remedy. MMSNA is helpful for addressing research questions related to the formal or structural side of relationships and networks, but it also attends to more qualitative questions such as the meaning of interactions or the variability of social relationships. In this chapter, we describe how researchers have applied and presented MMSNA in publications from the perspective of general mixed methods research. Based on a systematic review, we summarize the different applications within the field of education and learning research, point to potential shortcomings of the methods and its presentation, and develop an agenda to support researchers in conducting future MMSNA research

Criticism · Data science · Educational research · Field (mathematics) · Management science · Meaning (existential) · Multimethodology · Perspective (graphical) · Political science · Presentation (obstetrics) · Qualitative research · Quantitative analysis (chemistry) · Social capital · Social network analysis · Social science · Sociology · Artificial Intelligence · Computer Science · Online Learning and Analytics · Psychology · Social Capital and Networks

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Obras citantes distintas46
Citas por año7,67
Intervalo de citas2020 - 2026 (7)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 45
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