Multiple Correspondence Analysis (MCA):
Multiple correspondence analysis (MCA) is an extension of correspondence analysis (CA) to the case of more than two variables. The initial data for MCA are three-way or m-way contingency tables.
In case of three variables, a common approach to MCA is to combine the two least interesting variables. Values (categories) of the variable of maximal interest are rows; combinations of values of the remaining two variables are columns. Computations are the same as in CA, but different symbols are used for plotting, depending on the values of one of the two remaining variables.
Browse Other Glossary Entries
Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.
Find the right course for you
We'd love to answer your questions
Our mentors and academic advisors are standing by to help guide you towards the courses or program that makes the most sense for you and your goals.
300 W Main St STE 301, Charlottesville, VA 22903