McVicar and Anyadike-Danes (2002)
This note points to the source paper behind the MVAD school-to-work transition dataset used in Sequenzo examples. It is not a copy of the article.
Citation
McVicar, D., & Anyadike-Danes, M. (2002). Predicting successful and unsuccessful transitions from school to work by using sequence methods. Journal of the Royal Statistical Society: Series A (Statistics in Society), 165(2), 317-334. https://doi.org/10.1111/1467-985X.00641
Why It Matters
The paper is a classic social sequence analysis example. It uses monthly post-school trajectories for young people in Northern Ireland, applies optimal matching, builds a typology of school-to-work transitions, and then studies which background characteristics are associated with those transition types.
For Sequenzo users, this paper is useful because it shows the full research logic behind a compact sequence workflow:
- define categorical monthly trajectories,
- compute sequence dissimilarities,
- cluster trajectories into interpretable types,
- connect the typology to substantive predictors.
Related Sequenzo Pages
- MVAD School-to-Work Transitions Dataset
- Quickstart
- Typical Workflow
- Dissimilarity Measures
- Cluster Quality Indicators