What is new?
Key finding: Correspondence analysis (CA) is an underutilized multivariate technique designed specifically to explore the relationships within and between two or more categorical variables. CA analyzes binary, ordinal, as well as nominal data without distributional assumptions (unlike traditional multivariate techniques) and preserves the categorical nature of the variables. CA provides a unique graphical display showing how the variable response categories are related. Epidemiologists should
What this adds to what was known:
What is the implication, what should change now: