Social Sequence Analysis: Methods and Applications (Structural Analysis in the Social Sciences)

Cornwell, Benjamin

ISBN 10: 1107500540 / ISBN 13: 9781107500549

Published by Cambridge University Press, 2015

About this Item

Print on Demand pp. 338.

Seller Inventory # 373705980

Bibliographic Details

• Title: Social Sequence Analysis: Methods and Applications (Structural Analysis in the Social Sciences)
• Publisher: Cambridge University Press
• Publication Date: 2015
• Language: English
• ISBN 10: 1107500540
• ISBN 13: 9781107500549
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Social sequence analysis includes a diverse and rapidly growing body of methods that social scientists have developed to help study complex ordered social processes, including chains of transitions, trajectories and other ordered phenomena. Social sequence analysis is not limited by content or time scale and can be used in many different fields, including sociology, communication, information science and psychology. Social Sequence Analysis aims to bring together both foundational and recent theoretical and methodological work on social sequences from the last thirty years. A unique reference book for a new generation of social scientists, this book will aid demographers who study life-course trajectories and family histories, sociologists who study career paths or work/family schedules, communication scholars and micro-sociologists who study conversation, interaction structures and small-group dynamics, as well as social epidemiologists.

About the Author

Benjamin Cornwell is an Associate Professor of Sociology at Cornell University, New York. He received his Ph.D. in Sociology at the University of Chicago. His research has been published in journals such as the American Journal of Sociology, American Sociological Review and Social Forces. His work has been covered in many media outlets, including CNN, the New York Times, MSNBC and the Los Angeles Times. In 2012, he taught one of the first graduate courses on social sequence analysis in the United States at Cornell University. He has most recently been awarded the 2017 Leo Goodman Award for Outstanding Early Career Researcher.