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Data analyses

Multivariate analyses in Daisie

Correlation
Regression
Factorial correspondence analysis
Principal component analysis
Multiple correspondence analysis
Discriminant analysis
Segmentation
Hierarchical classification
Cluster analysis

Introduction to the analyses

The battery of statistical tests available in Daisie is often insufficient for analysing a study in depth. This is why Daisie offers a series of multivariate analyses that have been designed in such a way that users can concentrate on the methodology and results, and don’t have to waste time preparing the variables needed.

All the analyses offered, apart from Intercorrelation Matrices, Factorial Correspondence Analyses and Hierarchical Classifications, generate individual variables that are sent to the table of variables and can therefore be used in other analyses. E.g. the Cluster Analysis generates a clusters variable that can be used in cross tabulations or other analyses.