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Sequence Analysis
About this book
Sequence analysis (SA) was developed 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 basic workflow of sequence analysis. In addition to the basics, this book outlines recent advances and innovations in SA.
The presentation of statistical, substantive, and theoretical foundations is enriched by examples to help the reader understand the repercussions of specific analytical choices. The extensive ancillary material supports self-learning based on real-world survey data and research questions from the field of life course research.
Data and code and a variety of additional resources to enrich the use of this book are available on an accompanying website.Frequently asked questions
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Information
Table of contents
- Cover
- Publisher Note
- Half Title
- Acknowledgements
- Half Title
- Acknowledgements
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Series Editor’s Introduction
- Acknowledgments
- Preface
- About the Authors
- Chapter 1 Introduction
- Chapter 2 Describing and Visualizing Sequences
- Chapter 3 Comparing Sequences
- Chapter 4 Identifying Groups in Data: Analyses Based on Dissimilarities Between Sequences
- 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
- References
- Index