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
Published inLongitudinal and Life Course Studies
© 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. ...
PublisherSociety for Longitudinal and Life Course Studies
Publication in research information system
MetadataShow full item record
Showing items with similar title or keywords.
Helske, Satu (University of Jyväskylä, 2016)
Helske, Satu; Helske, Jouni; Chihaya, Guilherme K. (SAGE Publications, 2023)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)
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 ...
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 ...