Multiple Correspondence Analysis and Related Methods

By Michael J. Greenacre, Jörg Blasius. 2006

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Citations in the corpus

On the Schoenberg Transformations in Data Analysis: Theory and Illustrations (2010, background): “Other prescriptions consider a i as proportional to the precision of measurement of object i (see e.g. Borg and Groenen 1997), or set a i = 0 for objects whose behavior might inﬂuence excessively the overall conﬁguration, as in the treatment of “ supplementary elements ” in Correspondence Analysis (”
Poverty and disability: A vicious circle? Evidence from Afghanistan and Zambia (2012, methodology): “form of an indicator matrix or a Burt matrix (Greenacre, 1984, 1993; Greenacre and Blasius, 2006).”
Multiple imputation for continuous variables using a Bayesian principal component analysis† (2014, methodology): “The encouraging results of the Bayesian PCA for continuous variables prompt the extension of the method to perform multiple imputation for categorical variables using multiple correspondence analysis [40] and using factorial analysis for mixed data.”
Addressing Score Bias and Differential Item Functioning Due to Individual Differences in Response Style (2009, methodology): “The MNRM is closely related to other techniques for multivariate data reduction, particularly multiple correspondence analysis (MCA; see Greenacre & Blasius, 2006; Warrens & Heiser, 2006).”
missMDA: A Package for Handling Missing Values in Multivariate Data Analysis (2016, methodology): “Principal component methods can be useful in such cases, and several methods are available depending on the nature of the data: Principal component analysis (PCA) can be used for continuous data, multiple correspondence analysis (MCA) for categorical data (Gifi 1990; Greenacre and Blasius 2006; Huss”
Physical–chemical and mineralogical characterization of fine aggregates from construction and demolition waste recycling plants (2013, methodology): “For easier interpretation of the results a correspondence analysis (CA) was performed (Greenacre, 2006).”