Correspondence Analysis and Related Methods
Michael Greenacre
Universitat Pompeu Fabra, Barcelona
Basic information
The accent in this course is on learning about tools, mostly for visualizing multivariate data, that can be applied to practical problems.
Correspondence analysis (CA) plays a central role in this area because it applies to count data, the most basic form of statistical measurement. Many other data types (raw categorical data, preferences, ratings, continuous measurements, distances) can be recoded in a form suitable for being visulalized using correspondence analysis, hence CA is a versatile framework for data visualization. CA is routinely used by ecologists, who count the occurrences of plants and animals, and social scientists, who count the responses of people; also by market researchers, linguists, psychologists, biomedical researchers and archeologists, to name a few...
Slides
Date | Colour (2x1) | Black/White (2x2) |
---|---|---|
Monday 10 May | viewing | printing |
Tuesday 11 May | viewing | printing |
Wednesday 12 May | viewing | printing |
Monday 17 May | viewing | printing |
Tuesday 18 May | viewing | printing |
Wednesday 19 May | viewing | printing |
Wednesday 26 May | viewing | printing |
R Code
- Simple CA
- Multiple CA
- see also Appendix B of Correspondence Analysis in Practice
Data sets
- EU/Readers/Salud/Salud2
- WomenWork4Questions
- WomenWork8QuestionsSpain
- Environmental questionnaire data
- ISSP website for downloading data sets
ISSP 2002 survey documentation: issp02.pdf
Reading
- chapter 10 of Correspondence Analysis in Practice
- chapter 20 of Correspondence Analysis in Practice
Articles
- R reference card
- Popular article on correspondence analysis
- Publishing quantitative results
- Appendix A (Theory of Correspondence Analysis) of Correspondence Analysis in Practice
Courses/Workshops, CARME network, CARME 2011
- Correspondence analysis course in Barcelona, June 2010
- carme-n
- 6th CARME conference in Rennes
Links
Last change: 2010-05-27 by mm