| Abstract: | Inverted Configural Frequency Analysis (Q-CFA) allows one to analyze complete and incomplete, symmetrical and asymmetrical cross-classifications made up by individuals rather than variables. The cells of such cross-classifications contain counts of behavior events as, for instance, pairwise interactions of individuals. The paper introduces Q-CFA. Interactions between individuals are defined as dyadic types and antitypes or as monadic types and antitypes. An example is given using data that describe genital display frequencies in squirrel monkeys. Generalizations are discussed in regard to the number of groups of individuals involved, to the type of design used for data collection, and the number of variables simultaneously analyzed. |
