Advances in Sequence Analysis: Theory, Method, Applications (Paperback, Softcover reprint of the original 1st ed. 2014)

This book gives a general view of sequence analysis, the statistical study of successions of states or events. It includes innovative contributions on life course studies, transitions into and out of employment, contemporaneous and historical careers, and political trajectories. The approach presented in this book is now central to the life-course perspective and the study of social processes more generally. This volume promotes the dialogue between approaches to sequence analysis that developed separately, within traditions contrasted in space and disciplines. It includes the latest developments in sequential concepts, coding, atypical datasets and time patterns, optimal matching and alternative algorithms, survey optimization, and visualization. Field studies include original sequential material related to parenting in 19th-century Belgium, higher education and work in Finland and Italy, family formation before and after German reunification, French Jews persecuted in occupied France, long-term trends in electoral participation, and regime democratization. Overall the book reassesses the classical uses of sequences and it promotes new ways of collecting, formatting, representing and processing them. The introduction provides basic sequential concepts and tools, as well as a history of the method. Chapters are presented in a way that is both accessible to the beginner and informative to the expert.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Life Course Research and Social Policies, 2
Release date:	September 2016
First published:	2014
Editors:	Philippe Blanchard • Felix Bühlmann • Jacques-Antoine Gauthier
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	304
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-37599-1
Categories:	Books > Social sciences > Politics & government > Political science & theory
LSN:	3-319-37599-7
Barcode:	9783319375991

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