Multivariate Analyses on Continuing Vocational Training in Luxembourg

This paper reviews four analyses run on the Luxembourgish Continuing Vocational Training Survey data.

Multiple correspondence analysis (MCA) allows to highlight associations between variables and the individuals (here, the firms). In association with the method of MCA, hierarchical clustering on principal components was used in order to identify groups of firms having similar behavior in terms of continuing vocational training. The size and the economic activity of the companies were introduced in the analyses to enrich the interpretation of the results.