Final answer:
Factor Analysis is the interdependence technique used to create perceptual maps, which helps in identifying the principal factors explaining data variation and simplifying the dimensions for graphical representation.
Step-by-step explanation:
The technique used as an interdependence method to create perceptual maps is Factor Analysis. Perceptual maps are graphical representations of how customers perceive a product or service in comparison to others, often based on multiple dimensions. Factor Analysis is a statistical method used to identify underlying relationships between measured variables and to reduce the number of variables by finding the principal factors that explain the data variation.
Furthermore, Cluster Analysis could also be relevant when multiple communities are sampled. It builds classifications of data that can be hierarchical or reticulate, divisive or agglomerative, and can handle both qualitative and quantitative data. Discriminant Analysis is another technique that is often used post-hoc to determine which variables differentiate between established groups.