Data analysis of projective descriptive methods

Data obtained by napping are usually analysed by multiple factor analysis (MEA), a multivariate data analytical technique that seeks the common structure between several blocks of variables (i.e. the individual panellists in a napping task) describing the same observations (the samples), see FactoMineR s website for further information (Husson et al, 2008 Le and Husson, 2008 Le et ah, 2008). MEA can be thought of 

Rapid Sensory Profiling Techniques and Related Methods 

MFA starts by computing an initial PCA on each individual matrix Xj, containing the sample coordinates for individual respondents, and subsequently transformed into a new matrix Xf Ewj such that  

After this step, the data blocks are concatenated in a global data table on which a new PCA is run, i.e. by singular value decomposition of the matrix 

For our data analysis we have kept simplicity and commnnication to non-sensory professionals as key points. 

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