Partnership formation and dissolution over the life course: Applying sequence analysis and event history analysis in the study of recurrent events
Helske, S., Steele, F., Kokko, K., Räikkönen, E., & Eerola, M. (2015). Partnership formation and dissolution over the life course: Applying sequence analysis and event history analysis in the study of recurrent events. Longitudinal and Life Course Studies, 6(1), 1-25. https://doi.org/10.14301/llcs.v6i1.290
Julkaistu sarjassa
Longitudinal and Life Course StudiesPäivämäärä
2015Tekijänoikeudet
© the Authors & Society for Longitudinal and Life Course Studies. Published in this repository with the kind permission of the publisher.
We present two types of approach to the analysis of recurrent events for discretely
measured data, and show how these methods can complement each other when analysing
co-residential partnership histories. Sequence analysis is a descriptive tool that gives an
overall picture of the data and helps to find typical and atypical patterns in histories. Event
history analysis is used to make conclusions about the effects of covariates on the timing
and duration of the partnerships. As a substantive question, we studied how family
background and childhood socio-emotional characteristics were related to later partnership
formation and stability in a Finnish cohort born in 1959. We found that high self-control of
emotions at age 8 was related to a lower risk of partnership dissolution and for women a
lower probability of repartnering. Child-centred parenting practices during childhood were
related to a lower risk of dissolution for women. Socially active boys were faster at forming
partnerships as men.
...
Julkaisija
Society for Longitudinal and Life Course StudiesISSN Hae Julkaisufoorumista
1757-9597Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/24564286
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Statistical analysis of life sequence data
Helske, Satu (University of Jyväskylä, 2016) -
From Sequences to Variables : Rethinking the Relationship between Sequences and Outcomes
Helske, Satu; Helske, Jouni; Chihaya, Guilherme K. (SAGE Publications, 2024)Sequence analysis is increasingly used in the social sciences for the holistic analysis of life-course and other longitudinal data. The usual approach is to construct sequences, calculate dissimilarities, group similar ... -
Exploring evolutionary responses to increasing temperature in an environmental opportunistic pathogen
Ashrafi, Roghaieh (University of Jyväskylä, 2017) -
Mixture Hidden Markov Models for Sequence Data : The seqHMM Package in R
Helske, Satu; Helske, Jouni (Foundation for Open Access Statistics, 2019)Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence ... -
Statistical analysis of life history calendar data
Eerola, Mervi; Helske, Satu (SAGE Publications, 2016)The life history calendar is a data-collection tool for obtaining reliable retrospective data about life events. To illustrate the analysis of such data, we compare the model-based probabilistic event history analysis and ...
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