Multiple Factor Analysis by Example Using R
By Jérôme Pagès
Chapman and Hall/CRC – 2014 – 272 pages
Series: Chapman & Hall/CRC The R Series
Multiple factor analysis (MFA) is an extension of classical factor analysis used when the data is structured in a group, such as in a questionnaire that covers various topics with several questions under each topic. This kind of data occurs in numerous social and behavioral science areas, including education, psychology, and sensory science. Written by the original developer of the methodology, this book illustrates how to use MFA for studying data. It presents an overview of the methodology and includes many worked examples and an R package for the analyses.
Principal Component Analysis. Multiple Correspondence Analysis. Factor Analysis for Mixed Data. Weighting Groups of Variables. Comparison of Partial Clouds of Individuals. Common Factors. Comparison of Groups of Variables. Qualitative and Mixed Groups. MFA and Procustes Analysis. Hierarchical Multiple Factor Analysis. Matrix Algebra and Euclidean Space. Bibliography.