Deviance is both socially defined and influenced. While it is widely accepted that deviance is a social construction, this research revisits the conceptualization of deviance and advances the methods used to study deviance and social construction. This book presents and compares three methods for conceptualizing deviance within and across cultures. Comparing the United States to South Korea, perceptions of deviance are presented as how individuals define deviance and what acts are cited as deviant. Next, attribute data are used to assess differences in of conceptualizations of deviance by demographic factors. Finally, social network analysis is used to understand the social influences at work in how one perceives deviance. This book is unique in its reconceptualization of deviance and the application of social network analysis as a new tool for studying social influence and perceptions.



Autorentext

By Candace Forbes Bright



Zusammenfassung
This book compares tradition attribute data methods for assessing perceptions of deviance to emerging relational data-based social network methods using a cross-cultural sample from the United States and South Korea. It offers new insights into the conceptualization of deviance and the application of social network analysis as a new tool for studying social influence and perceptions.

Inhalt

Chapter 1: Introduction
Chapter 2: Deviant Behavior and Social Network Analysis
Chapter 3: Data Collection
Chapter 4: Approach One: Deviance Across Cultures
Chapter 5: Approach Two: Social Influence in Approval of Deviant Behavior
Chapter 6: Approach Three: Birds of a Feather Approve of Deviant Behavior Together
Chapter 7: Conclusion
Appendix A: Deviant Behavior Interview Instrument
Appendix B: Perceptions of Deviance Survey Instrument

Titel
Conceptualizing Deviance
Untertitel
A Cross-Cultural Social Network Approach to Comparing Relational and Attribute Data
EAN
9781498530477
ISBN
978-1-4985-3047-7
Format
E-Book (epub)
Herausgeber
Veröffentlichung
05.08.2016
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
2.32 MB
Anzahl Seiten
154
Jahr
2016
Untertitel
Englisch