Data di Pubblicazione:
2023
Citazione:
Strategies for Multidomain Sequence Analysis in Social Research / G. Ritschard, T.F. Liao, E. Struffolino. - In: SOCIOLOGICAL METHODOLOGY. - ISSN 0081-1750. - (2023), pp. 008117502311638.1-008117502311638.35. [10.1177/00811750231163833]
Abstract:
Multidomain/multichannel sequence analysis has become widely used in social science research to
uncover the underlying relationships between two or more observed trajectories in parallel. For example,
life-course researchers use multidomain sequence analysis to study the parallel unfolding of multiple life-
course domains. In this article, the authors conduct a critical review of the approaches most used in multi-
domain sequence analysis. The parallel unfolding of trajectories in multiple domains is typically analyzed
by building a joint multidomain typology and by examining how domain-specific sequence patterns com-
bine with one another within the multidomain groups. The authors identify four strategies to construct the
joint multidomain typology: proceeding independently of domain costs and distances between domain
sequences, deriving multidomain costs from domain costs, deriving distances between multidomain
sequences from within-domain distances, and combining typologies constructed for each domain. The
second and third strategies are prevalent in the literature and typically proceed additively. The authors
show that these additive procedures assume between-domain independence, and they make explicit the
constraints these procedures impose on between-multidomain costs and distances. Regarding the fourth
strategy, the authors propose a merging algorithm to avoid scarce combined types. As regards the first
strategy, the authors demonstrate, with a real example based on data from the Swiss Household Panel, that
using edit distances with data-driven costs at the multidomain level (i.e., independent of domain costs)
remains easily manageable with more than 200 different multidomain combined states. In addition, the
authors introduce strategies to enhance visualization by types and domains.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
sequence analysis; optimal matching; multichannel; domain association; joint typology; dissimilarities; life-course; Swiss data; interlocked domains
Elenco autori:
G. Ritschard, T.F. Liao, E. Struffolino
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