Analysis of correspondencies (=comparing answers genarally) between providers, trainers and learners)

To quantitatively analyze the identity of the travelers who responded to the questionnaires, the students conducted a Multiple Correspondence Analysis (MCA).

Simple correspondence analysis decomposes a contingency table similar to how principal components analysis decomposes multivariate continuous data.

By running a Multiple Correspondence Analysis (MCA), we want to identify the relationships between the various possible answer to the questions.

Although the terms “principal component analysis” and “multiple correspondence analysis” are nowadays firmly established, there is nevertheless a degree of terminological uncertainty, especially in the older literature.

In the second survey, two multivariate statistical approaches, French and Anglo-Saxon, are compared to study risk factors (multiple correspondence analysis and multiple logistic regression model).

Finally, we look at the multiple correspondence analysis.

Correspondence analysis is made solely with computers.

In correspondence analysis we thus divide the by the total number of individuals in the table to get a statistic which is called the or inertia.

Projection of axes 1 and 2 from correspondence analysis.