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Sequence analysis (SA) developed as a technique to study social processes that unfold over time as sequences of events. It has gained increasing attention as the availability of longitudinal data made it possible to address sequence-oriented questions. This volume introduces the basics of SA to guide practitioners and support instructors through the workflow of sequence analysis. The presentation of statistical, substantive, and theoretical foundations is enriched by examples to help the reader understand the advantages and disadvantages of specific analytical choices. The extensive ancillary material supports self-learning by offering exercises and solutions based on real data and research questions in the field of life course research. Finally, the book considers recent advances and innovations in SA.


 
Chapter 1. Introduction
 
Chapter 2. Describing and Visualizing Sequences
 
Chapter 3. Comparing Sequences
 
Chapter 4. Identifying Groups in Data: Analyses Based on Dissimilarities between Sequence
 
Chapter 5. Multidimensional Sequence Analysis
 
Chapter 6. Examining group Differences without Cluster Analysis
 
Chapter 7. Combining Sequence Analysis with Other Explanatory Methods
 
Chapter 8. Conclusions

This book provides a comprehensive and updated introduction to sequence analysis, I highly recommend it for anyone who wants to learn the topic systematically.

Tim F. Liao
University of Illinois at Urbana-Champaign
Key features
  • This volume introduces the basics of SA to guide practitioners and support instructors through the workflow of sequence analysis.
  • The presentation of statistical, substantive, and theoretical foundations is enriched by examples to help the reader understand the advantages and disadvantages of specific analytical choices.
  • The extensive ancillary material supports self-learning by offering exercises and solutions based on real data and research questions in the field of life course research.

For instructors

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Paperback
ISBN: 9781071801888
$30.00