Identifying the Effects of COVID-19 on Psychological Well-Being Through Unsupervised Clustering for Mixed Data

Responses from 275 adults in a German online survey were analysed using a clustering method that accommodates mixed data types. The analysis identified three groups that differed in well-being, psychological distress, and financial or occupational concerns. The study illustrates how unsupervised analysis can reveal patterns of vulnerability that may be missed by analysing single survey items in isolation.

Proceedings of Sixth International Congress on Information and Communication Technology, 235, 883–895