Cookies?
Library Header Image
LSE Research Online LSE Library Services

Partnership formation and dissolution over the life course: applying sequence analysis and event history analysis in the study of recurrent events

Helske, Satu, Steele, Fiona ORCID: 0000-0001-6417-7444, Kokko, Katja, Räikkönen, Eija and Eerola, Mervi (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). pp. 1-25. ISSN 1757-9597

[img]
Preview
PDF - Accepted Version
Download (865kB) | Preview

Identification Number: 10.14301/llcs.v6i1.290

Abstract

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.

Item Type: Article
Official URL: http://www.llcsjournal.org/index.php/llcs/index
Additional Information: © 2015 The Authors
Divisions: Statistics
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
H Social Sciences > HQ The family. Marriage. Woman
Date Deposited: 09 Jun 2015 08:13
Last Modified: 01 Oct 2024 03:42
Projects: RES-576-25-0032, 127125, 118316 and 135347
Funders: Jyväskylä Graduate School in Computing and Mathematical Sciences (COMAS), Finnish Cultural Foundation, Economic and Social Research Council, Academy of Finland
URI: http://eprints.lse.ac.uk/id/eprint/62244

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics