Abstract
In this paper we present the toolbox MultipleCar, which is a general program for computing multiple correspondence analysis and which was designed using a graphical user interface. The procedures implemented in MultipleCar are the usual ones that are already available in other applications, plus some additional procedures. MultipleCar makes it possible to compute (1) joint correspondence analysis, and (2) orthogonal and oblique rotation of coordinates. Although MultipleCar was developed in MATLAB, we compiled it as a standalone application for Windows operative systems based on graphical user interfaces. The users can decide whether to use the advanced MATLAB version of MultipleCar, or the standalone version (which does not require any programming skills).
Highlights
In this paper we present the program MultipleCar, which was designed using a graphical user interface
Multiple correspondence analysis (MCA) can be seen as an extension of correspondence analysis that simultaneously analyzes more than two categorical variables
We have developed MultipleCar in MATLAB 2019a, and compiled it to be run in Microsoft Windows 64-bit operating systems
Summary
In this paper we present the program MultipleCar, which was designed using a graphical user interface. In order to maximize the simplicity of coordinates, they are usually (orthogonally or obliquely) rotated In this biplot scenario, row and column points can both be rotated without influencing the approximation. Multiple correspondence analysis (MCA) is a method that allows the researcher to analyze data on more than two categorical variables. The analysis of the Burt matrix reveals an important property of MCA: The cross-tabulations between all variables are simultaneously approximated (in a least-squares sense). In JCA, coordinates are obtained for the categories of the categorical variables in such a way that the off-diagonal blocks of the Burt matrix (i.e., the cross-tabulations for all pairs of variables) are approximated in a least-squares sense whilst the approximation of the diagonal blocks is ignored. Despite the close relationship between EFA and JCA, rotation in JCA has received no attention by researchers
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