Understanding vaccination intention in various social contexts

This project examines vaccination intention using survey data from Hungarian adults with both individual- and couple-level analyses. Methods include descriptive statistics, penalized regressions, dyadic models, and machine learning (gradient boosted trees, neural networks, beta and count regressions). Exploratory analyses apply resampling, clustering (k-means, LDA, SOM, t-SNE), and stability tests. Model performance is validated with ROC-AUC, cross-validation, and bootstrap.