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IntroductionPrincipal Component AnalysisCorrespondence Analysis Multiple Correspondence Analysis ClusteringMultiple Factor AnalysisTo concludeForum
For each question, tick the correct answer or answers.
Q1) When analyzing a data table using MFA, groups of quantitative variables can be active groups of quantitative variables can be supplementary groups of qualitative variables can also be supplementary frequency tables can also be active frequency tables can also be supplementary
Q2) When applying MFA to groups of qualitative variables, the weighting of a group can be calculated using the first eigenvalue of the group’s MCA the partial individuals plot contains mean and partial individuals, and mean and partial categories of each variable a partial category is located at the barycenter of the partial points of the individuals in that category it is not possible to show groups
Q3) When applying MFA to contingency tables, the rows (or columns) of each table have to be identical we can compare the results of several CA (one per table) in a shared framework we weight each row by the sum of its values in the first table we weight each row by the sum of its values over all tables
Q4) Contributions and quality of representation. In an MFA, the contribution of a group to construction of an axis is equal to its coordinate value (divided by the sum of the coordinate values of the groups on that axis) equal to the square of its coordinate value (divided by the sum of squares of the coordinate values of the groups on that axis) weak if the group is multidimensional strong if the group is multidimensional
Q5) Here are the 5 steps required to run MFA. A. Define the groups of variables B. Choose the number of dimensions to interpret C. Interpret the results D. Choose the active groups E. Run the MFA In what order should these steps be performed? A - C - B - D - E A - D - E - B - C D - A - B - E - C D - A - B - C - E
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