Social Network Analysis and Education

Theory, Methods & Applications
1. Auflage 2013
ISBN: 978-1-4129-9947-2
Verlag: Sage Publications, Inc

Buch, Englisch, 344 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 643 g

This book provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. The author's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Whether your interests lie in examining a peer's influence on students' achievement, the relationship between social support and teacher retention, or how the pattern of relations among parents contributes to schools' norms, the tools introduced in this book will provide you with a slightly different take on these and other phenomena. Unlike other approaches, this perspective accounts for the importance of relationships within formal structures, and the informal patterns of interaction that emerge, sustain, or recede. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena.

Autoren/Hrsg.

Carolan, Brian V.

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung

Inhaltsverzeichnis

Part I. Theory and Concepts
Chapter 1. The Social Network Perspective and Educational Research
Chapter 2. Historical, Theoretical, and Analytical Foundations
Chapter 3. Basic Concepts
Part II. Methods and Measures
Chapter 4. Collecting and Managing Network Data
Chapter 5. Structural Measures for Complete Networks
Chapter 6. Groups and Positions in Complete Networks
Chapter 7. Measures for Egocentric Networks
Part III. Applications and Examples
Chapter 8. An Introduction to Statistical Inference with Network Data
Chapter 9. Network Data and Statistical Models
Chapter 10. Social Capital
Chapter 11. Diffusion
Chapter 12. Looking Back, Looking Ahead

Über Autor(innen)

Carolan, Brian V.
Brian V. Carolan is Associate Professor of Quantitative Research Methods at Montclair State University. Prior to joining Montclair State University in 2010, he was Associate Professor of Social Foundations of Education in the Department of Education, College of Staten Island, CUNY. He received his B.A. in sociology from Rutgers University, M.Phil in sociology from Columbia University, and his Ph.D. in sociology and education from Teachers College, Columbia University. Brian has published widely in a variety of areas related to education, covering issues such as high school size, grade span configuration, and the social organization of classrooms. This diversity of topical interests reflects his desire to employ methodological strategies from different disciplines to examine phenomena that are of interest to educational stakeholders. Consequently, his work has appeared in diverse outlets, including Social Networks, Educational Researcher, Teachers College Record, Journal of Research on Adolescence, and others. He currently teaches graduate-level research methods courses to students in the educational and health services fields.