The purpose of this monograph is to provide a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right; no prior knowledge of Correspondence Analysis (CA) is needed. The presentation will be practically oriented and with the needs of research in mind: gathering relevant data, formulating questions of interest, and linking statistical interpretation to geometric representations. The procedures will be presented in detail using a real example, stressing the unique capacity of \textsc{mca} to handle full--scale research studies
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Abstract: In the analysis of multivariate categorical data, typically the analysis of questionnaire...
The purpose of this monograph is to provide a nontechnical introduction to Multiple Correspondence A...
Multiple correspondence analysis (MCA) is an extension of correspondence analysis (CA) which allows ...
4.1 Multiple Correspondence Analysis As reported by Abdi and Valentine (2007): ...
The generalization of simple (two-variable) correspondence analysis to more than two categorical var...
The generalization of simple (two-variable) correspondence analysis to more than two categorical var...
The history of multiple correspondence analysis (MCA) is a curious one: in about 80 years, it has b...
Multiple correspondence analysis (MCA) is a useful technique for the structural anal-ysis of multiva...
The problem of the proper dimension of the solution of a Multiple Correspondence Analysis (MCA) is d...
Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of corresponden...
In qualitative research of multiple case studies, Miles and Huberman proposed to summarize the separ...
Correspondence analysis is a relatively little used multivariate statistical technique in the Englis...
In qualitative research of multiple case studies, Miles and Huberman proposed to summarize the separ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Abstract: In the analysis of multivariate categorical data, typically the analysis of questionnaire...
The purpose of this monograph is to provide a nontechnical introduction to Multiple Correspondence A...
Multiple correspondence analysis (MCA) is an extension of correspondence analysis (CA) which allows ...
4.1 Multiple Correspondence Analysis As reported by Abdi and Valentine (2007): ...
The generalization of simple (two-variable) correspondence analysis to more than two categorical var...
The generalization of simple (two-variable) correspondence analysis to more than two categorical var...
The history of multiple correspondence analysis (MCA) is a curious one: in about 80 years, it has b...
Multiple correspondence analysis (MCA) is a useful technique for the structural anal-ysis of multiva...
The problem of the proper dimension of the solution of a Multiple Correspondence Analysis (MCA) is d...
Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of corresponden...
In qualitative research of multiple case studies, Miles and Huberman proposed to summarize the separ...
Correspondence analysis is a relatively little used multivariate statistical technique in the Englis...
In qualitative research of multiple case studies, Miles and Huberman proposed to summarize the separ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Abstract: In the analysis of multivariate categorical data, typically the analysis of questionnaire...