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Sequence Analysis
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Sequence Analysis



April 2022 | 192 pages | SAGE Publications, Inc

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 at https://sa-book.github.io.
 
Series Editor’s Introduction
 
Acknowledgments
 
Preface
 
About the Authors
 
Chapter 1. Introduction
1.1 Sequence Analysis in the Social Sciences

 
1.2 Organization of the Book

 
1.3 Software, Data, and Companion Webpage

 
 
Chapter 2: Describing and Visualizing Sequences
2.1 Basic Concepts and Terminology

 
2.1 Basic Concepts and Terminology

 
2.3 Description of Sequence Data I: The Basics

 
2.4 Visualization of Sequences

 
2.5 Description of Sequences II: Assessing Sequence

 
 
Chapter 3: Comparing Sequences
3.1 Dissimilarity Measures to Compare Sequences

 
3.2 Alignment Techniques

 
3.3 Alignment-Based Extensions of OM

 
3.4 Nonalignment Techniques

 
3.5 Comparing Dissimilarity Matrices

 
3.6 Comparing Sequences of Different Length

 
3.7 Beyond the Standard Full-Sample Pairwise Sequence Comparison

 
 
Chapter 4: Identifying Groups in Data: Analyses Based On Dissimilarities Between Sequences
4.1 Clustering Sequences to Uncover Typologies

 
4.2 Illustrative Application

 
4.3 “Construct Validity” for Typologies From Cluster Analysis to Sequences

 
4.4 Using Typologies as Dependent and Independent Variables in a Regression Framework

 
 
Chapter 5: Multidimensional Sequence Analysis
5.1 Accounting for Simultaneous Temporal Processes

 
5.2 Expanding the Alphabet: Combining Multiple Channels Into a Single Alphabet

 
5.3 Cross-Tabulation of Groups Identified From Different Dissimilarity Matrices

 
5.4 Combining Domain-Specific Dissimilarities

 
5.5 Multichannel Sequence Analysis

 
 
Chapter 6: Examining Group Differences Without Cluster Analysis
6.1 Comparing Within-Group Discrepancies

 
6.2 Measuring Associations Between Sequences and Covariates

 
6.3 Statistical Implicative Analysis

 
 
Chapter 7: Combining Sequence Analysis With Other Explanatory Methods
7.1 The Rationale Behind the Combination of Stochastic and Algorithmic Analytical Tools

 
7.2 Competing Trajectories Analysis

 
7.3 Sequence Analysis Multistate Model Procedure

 
7.4 Combining SA and (Propensity Score) Matching

 
 
Chapter 8: Conclusions
8.1 Summary of Recommendations: An Extended Checklist

 
8.2 Achievements, Unresolved Issues, and Ongoing Innovation

 
 
References

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

Marcel Raab

Marcel Raab is Senior Researcher at the State Institute for Family Research at the University of Bamberg and Deputy Managing Director of the Journal of Family Research. Previously, he worked as a research assistant at the National Educational Panel Study and the Professorship of Demography at the University of Bamberg, as a research fellow in the research group “Demography and Inequality” at the WZB Berlin Social Science Center, and Assistant Professor for Sociology at the University of Mannheim. In 2011 he was a visiting pre-doctoral fellow at the Center for Research on Inequalities and the Life Course (CIQLE) at Yale University, New... More About Author

Emanuela Struffolino

Emanuela Struffolino is Assistant Professor of Economic Sociology at the University of Milan, Department of Social and Political Sciences. Between 2020 and 2021, she was guest Professor of Macrosociology at the Institute of Sociology at the Freie Universität Berlin and then guest Professor of Social Policy at the Humboldt-Universität zu Berlin. From 2015 to 2019 she was postdoctoral fellow at the research group “Demography and Inequality" Research Group at the WZB Berlin Social Science Center. After obtaining her PhD in Sociology at the University of Milano-Bicocca, in 2014 she worked as research fellow at the Swiss National Centre for... More About Author

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ISBN: 9781071801888
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