en
Book chapter
English

Sequence Analysis and Its Potential for Occupational Health Studies

Published inHandbook of Life Course Occupational Health, Editors Wahrendorf, M., Chandola, T., Descatha, A., p. 59-76
PublisherCham : Springer
Collection
  • Handbook Series in Occupational Health Sciences
Publication date2023-08-19
First online date2023-08-19
Abstract

This chapter introduces the sequence analysis methodological framework to study trajectories in a life course perspective and discusses its potential for occupational health research. Aside from a conceptual presentation of the main concepts, it also aims to provide general and practical recommendations on the main decisions to be made when using sequence analysis.

Regularly identified as one of the key approaches for life course analysis, sequence analysis aims to analyze trajectories described as a sequence of categorical states using a holistic perspective. It regroups methods ranging from visualization to explanatory methods and provides a comprehensive overview of the observed trajectories taken as a whole. This overview can then be used for various purposes, such as describing a set of entire trajectories, identifying relevant or atypical regularities, or contrasting these trajectories according to other key aspects such as gender or education level. This general introduction to sequence analysis is based on a simple illustrative study of work-related stress trajectories following a corporate restructuring in Switzerland.

eng
Keywords
  • Sequence analysis
  • Cluster analysis
  • Longitudinal methods
  • Occupational health
  • Stress trajectory
  • Corporate restructuring
  • Optimal matching
  • Visualization
  • Typology
  • Validation
Research group
Citation (ISO format)
STUDER, Matthias, CIANFERONI, Nicola. Sequence Analysis and Its Potential for Occupational Health Studies. In: Handbook of Life Course Occupational Health. Cham : Springer, 2023. p. 59–76. (Handbook Series in Occupational Health Sciences) doi: 10.1007/978-3-031-30492-7_18
Main files (1)
Book chapter (Published version)
accessLevelRestricted
Identifiers
ISBN978-3-031-30491-0
36views
3downloads

Technical informations

Creation01/17/2024 9:01:33 AM
First validation01/17/2024 10:34:02 AM
Update time01/17/2024 10:34:02 AM
Status update01/17/2024 10:34:02 AM
Last indexation05/06/2024 5:45:31 PM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack