Correspondence analysis in practice

Correspondence Analysis: Theory, Practice and New Strategies
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The conference took place in Florence, Italy, from 8 - 10 September The objective of this session is to spotlight the very latest research in correspondence analysis and related techniques, and discuss future developments. Themes of the sessions include all forms of correspondence analysis and related fields, including visualization of categorical data: Simple correspondence analysis, Multiple correspondence analysis, Joint correspondence analysis, Multiway correspondence analysis, Canonical correspondence analysis, Nonsymmetrical correspondence analysis, Dual scaling, Optimal scaling, Homogeneity analysis, Multidimensional scaling of categorical data, Biplots of categorical data, Visualization of compositional data, Correspondence analysis in the social sciences, Correspondence analysis in ecology and the environmental sciences, Correspondence analysis in the health sciences, Correspondence analysis in marketing research and management, Principal component analysis, Geometric data analysis.

In , on the initiative of Prof. The audience grew, now we had already 90 participants, and so did our enthusiasm.

From these two conferences two edited books appeared, with the same names, and have come to be recognized as major reference works in this area of research. Again, four years later in , we held another conference, this time distributing CD-ROMS of data from the International Social Survey Programme ISSP to all participants, with the requirement that all participants had to analyse data from this database, using any method of their choice.

A short summary of the main points in the form of a list concludes each chapter. The theoretical part here is more extensive than that of the first edition, including additional theory on new topics such as canonical correspondence analysis, transition and regression relationships, stacked tables, subset correspondence analysis and the analysis of square tables.

Concerning computational issues, a very strong feature of this edition is the use of the R program for all computations.

Correspondence analysis and sociology

Symmetry of Row and Column Analyses. Professor of Statistics, Universitat Pompeu Fabra. Multiway Tables. It includes applications in many different fields of the social and natural sciences, and provides three detailed case studies documenting how the biplot reveals structure in large complex data sets in genomics where thousands of variables are commonly encountered , in social survey research where many categorical variables are studied simultaneously and ecological research where relationships between two sets of variables are investigated. Note that we can't provide technical support on individual packages.

The lengthy appendix B 45 pages summarizes on examples possibilities of relating macros from R. In addition to that, three different technologies are described enabling the creation of the graphical displays presented in the book.

No references at all are given in the 25 chapters; a relatively brief bibliography in appendix C is given to point readers toward further reading containing a more complete literature guide. A glossary of the most important terms and an epilogue with some final thoughts conclude the book. Summarizing, this is a nice book for all those who wish to acquaint themselves with a versatile methodology of correspondence analysis and the way it can be used for the analysis and visualization of data arriving typically from the fields of social, environmental and health sciences, marketing and economics.

Numerous examples provide a real flavour of the possibilities of the method.