Longitudinal methods for life course research: a comparison of sequence analysis, latent class growth models, and multi-state event history models for studying partnership transitions

Julia Mikolai, Mark Lyons-Amos

    Research output: Contribution to journalArticlepeer-review

    21 Citations (Scopus)
    8 Downloads (Pure)

    Abstract

    This paper qualitatively compares and contrasts three methods that are useful for life course researchers; the more widely used sequence analysis, and the promising but less often applied latent class growth models, and multi-state event history models. The strengths and weaknesses of each method are highlighted by applying them to the same empirical problem. Using data from the Norwegian Generations and Gender Survey, changes in the partnership status of women born between 1955 and 1964 are modelled, with education as the primary covariate of interest. We show that latent class growth models and multi-state event history models are a useful addition to life course researchers’ methodological toolkit and that these methods can address certain research questions better than the more commonly applied sequence analysis or simple event history analysis.
    Original languageEnglish
    Pages (from-to)191-208
    JournalLongitudinal and Life Course Studies
    Volume8
    Issue number2
    DOIs
    Publication statusPublished - 27 Apr 2017

    Keywords

    • Life course methodology
    • Sequence analysis
    • Latent class growth models
    • Multi-state event history models
    • Partnership transitions
    • Family life course

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