In multivariate analysis, several variables are analysed simultaneously in order to understand relationships and patterns in complex data sets. These analysis methods make it possible to explore how variables interact with each other and influence results. They help to isolate the effects of individual factors while controlling for others.
ZSI offers specific know-how on general linear models (multiple regression analysis – linear and logistic regression), structural equation models, MANOVA, factor analysis, principal component analysis, correspondence analysis, and cluster analysis. We use these techniques to explore relationships, identify patterns, make predictions, and draw meaningful conclusions about social phenomena.
