All you need to know on Multiple Factor Analysis …

March 15, 2020

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Multiple facrtor analysis deals with dataset where variables are organized in groups. Typically, from data coming from different sources of variables. The method highlights a common structure of all the groups, and the specificity of each group. It allows to compare the results of several PCAs or MCAs in a unique frame of reference. The groups of variables can be continuous, categorical or can be a contingency table.

Implementation with R software

See this video and the audio transcription of this video:


Course videos

Theorectical and practical informations on Multiple Factor Analysis are available in these 4 course videos:

  1. Introduction
  2. Weighting and global PCA
  3. Study of the groups of variables
  4. Complements: qualitative groups, frenquency tables

Here are the slides and the audio transcription of the course.


Here is the material used in the videos:

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