F. Husson website
IntroductionPrincipal Component AnalysisCorrespondence Analysis Multiple Correspondence Analysis ClusteringMultiple Factor AnalysisTo concludeForum
For each question, tick the correct answer or answers.
Q1) Multiple factor analysis allows us to analyze data coming from several studies with different individuals from surveys where questions are structured by theme where the same set of individuals is given in terms of several groups of variables
Q2) Suppose we have several data tables. In them, the blue rectangles represent sub-tables made up of quantitative variables, while the red one are sub-tables of qualitative variables. Of the above tables, which ones can a multiple factor analysis be applied to? (tick the relevant boxes) table 1 table 2 table 3 table 4 table 5
Q3) A multiple factor analysis can be performed on tables containing several groups of variables in which of the following situation(s)? all groups contain quantitative variables all groups contain qualitative variables some groups contain quantitative variables, others qualitative variables variables must be of the same type across all groups
Q4) An MFA constructed on two groups of quantitative variables is the same as doing a PCA with the variables from one group as active, and the variables from the other group as supplementary represents a compromise between a PCA on the first group and a PCA on the second
Q5) Multiple factor analysis allows us to study similarities between individuals from the point of view of the set of groups of variables broadly examine similarities and differences between groups see whether a particular individual is characterized in the same way by all of the groups see whether a particular individual is characterized in a specific way by certain groups
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