Studying individuals across the lifecourse: a review of longitudinal methods

Júlia Mikolai, Mark Amos

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)


Individual lifecourses have become increasingly complex over the last decades across industrialised countries; this has implications for the way in which we study individuals’ lives. Longitudinal data analysis is widely used within the social sciences and demography and several different methods have been developed for studying individual lifecourses. This chapter provides an up-to-date overview of these methods, which are categorised as either event-based (event history analysis and its extensions and panel regression) or holistic (sequence analysis and its extension, latent class growth models, and latent transition analysis). The authors briefly describe each method and provide examples of empirical applications from previous research. They also discuss the availability of software and software packages to conduct these analyses. The concluding section discusses the strengths and weaknesses of each method and the type of research questions they are best suited to answer.

Original languageEnglish
Title of host publicationHandbook on Demographic Change and the Lifecourse
PublisherEdward Elgar Publishing Ltd
Number of pages16
ISBN (Electronic)9781788974875
ISBN (Print)9781788974868
Publication statusPublished - 1 Jan 2020


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