Using Sequence Analysis to Quantify How Strongly Life Courses Are Linked

  title={Using Sequence Analysis to Quantify How Strongly Life Courses Are Linked},
  author={Tim Futing Liao},
  journal={Sociological Science},
  • T. Liao
  • Published 19 January 2021
  • Mathematics
  • Sociological Science
Dyadic or, more generally, polyadic life course sequences can be more associated within dyads or polyads than between randomly assigned dyadic/polyadic member sequences, a phenomenon reflecting the life course principle of linked lives. In this article, I propose a method of U and V measures for quantifying and assessing linked life course trajectories in sequence data. Specifically, I compare the sequence distance between members of an observed dyad/polyad against a set of randomly generated… 

Figures and Tables from this paper


Analyzing Dyadic Data Using Grid-Sequence Analysis: Interdyad Differences in Intradyad Dynamics.
An integrated approach that merges state space grid methods adapted from the dynamic systems literature with sequence analysis methods adaptedfrom molecular biology into a "grid-sequence" method for studying interdyad differences in intradyad dynamics is forward.
What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures
The study shows that there is no universally optimal distance index, and that the choice of a measure depends on which aspect the authors want to focus on, and introduces novel ways of measuring dissimilarities that overcome some flaws in existing measures.
Families in the Life Course: Interdependency of Roles, Role Configurations, and Pathways
Familles are central in the unfolding life course. They have both internal and external dynamics that reflect and characterize the modern life span, and a life course perspective has particular
Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure
The relationship between processes and time-varying covariates is of central theoretical interest in addressing many social science research questions. On the one hand, event history analysis (EHA)
1. Multichannel Sequence Analysis Applied to Social Science Data
Applications of optimal matching analysis in the social sciences are typically based on sequences of specific social statuses that model the residential, family, or occupational trajectories of
Beyond Transmission: Intergenerational Patterns of Family Formation Among Middle-Class American Families
It is concluded that intergenerational patterns of family formation are generated at the intersection of macro-structural change and family internal psychological dynamics.
Sibling Similarity in Family Formation
A novel research design that combines sibling comparisons and sequence analysis to analyze longitudinal family-formation trajectories of siblings and unrelated persons shows that family formation is moderately but significantly more similar for siblings than for unrelated dyads, also after controlling for crucial parental background characteristics.
The Interplay of Work and Family Trajectories over the Life Course: Germany and the United States in Comparison1
This article uses sequence analysis to examine how gender inequality in work-family trajectories unfolds from early adulthood until middle age in two different welfare state contexts. Results based
The Emergence and Development of Life Course Theory
Today, the life course perspective is perhaps the pre-eminent theoretical orientation in the study of lives, but this has not always been the case. The life histories and future trajectories of
Destination as a process: Sibling similarity in early socioeconomic trajectories
Abstract This paper proposes a process-oriented life course perspective on intergenerational mobility by comparing the early socioeconomic trajectories of siblings to those of unrelated persons.