2023
DOI: 10.1177/16094069231153611
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Analysing Adolescent Education and Health Trajectories in Crisis Contexts: Examples From a Multi-Year Longitudinal Cross-Country Study

Abstract: Qualitative longitudinal research is a useful method for studying adolescent development, not least because the dimension of temporality in the analysis of longitudinal studies can help researchers understand the complexity of transitions during this unique and dynamic life stage. The Gender and Adolescence: Global Evidence programme is a multi-year cross-country longitudinal study of adolescents in low- and middle-income countries. This article presents the methodological opportunities and challenges involved… Show more

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Cited by 1 publication
(2 citation statements)
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“…While this article has predominantly focused on handling large datasets at the coding stage, the approaches discussed can also be applicable to later stages of analysis and write up, such as working with large teams of researchers and using MAXQDA to make the data more manageable to easily shared across research teams. We also utilise sub-analysis of these datasets to ensure the richness of the data is accurately captured (Devonald & Jones, 2023). MAXQDA can have a number of benefits for analysing large data sets at that stage, including the use of visual tools that can provide matrices and maps of the coded data.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…While this article has predominantly focused on handling large datasets at the coding stage, the approaches discussed can also be applicable to later stages of analysis and write up, such as working with large teams of researchers and using MAXQDA to make the data more manageable to easily shared across research teams. We also utilise sub-analysis of these datasets to ensure the richness of the data is accurately captured (Devonald & Jones, 2023). MAXQDA can have a number of benefits for analysing large data sets at that stage, including the use of visual tools that can provide matrices and maps of the coded data.…”
Section: Discussionmentioning
confidence: 99%
“…Large datasets of qualitative longitudinal research (QLR) are extremely useful in understanding the complexity of transitions at different stages in the life course and they allow comparisons of different groups (based on factors such as age, location, citizenship status, education, etc.) across the dataset (Baird et al, 2021c;Banati, 2021;Devonald & Jones, 2023;Thomson & Holland, 2003). Despite these benefits, researchers undertaking QLR highlight that the complexity and quantity of data is a key challenge and requires labourintensive processes during all components of the research (Thomson & Holland, 2003;Thomson & McLeod, 2015;Tuthill et al, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%