A3 Refereed book chapter or chapter in a compilation book

Case studies in combining sequence analysis and modelling




AuthorsMervi Eerola

EditorsGilbert Ritschard, Matthias Studer

Publication year2018

Book title Sequence Analysis and Related Approaches: Innovative Methods and Applications

Series titleLife Course Research and Social Policies

Volume10

First page 35

Last page46

ISBN978-3-319-95419-6

eISBN978-3-319-95420-2

ISSN2211-7776

Web address https://www.springer.com/gb/book/9783319954196

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/28910789


Abstract

This methodological paper presents three case studies of life course analysis
in which the clustering of the sequences and probabilistic modelling have been
combined or contrasted when analysing a particular research question. Latent variable
hierarchical modelling is used in various ways to account for correlation in
multidimensional response variables and to model underlying structures in the life
course. We conclude that, while sequence analysis allows to use multidimensional
and time-dependent criteria either for comparing life patterns of groups of individuals
or to extract subgroups for further analysis, the SA outcome may be rather
unspecific for causal-like questions.


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Last updated on 2024-26-11 at 22:34