Non-metric scaling is a multivariate statistical technique used to visualize the level of similarity or dissimilarity of data by representing it in a lower-dimensional space, often based on rank order rather than precise metric distances. This method is particularly useful when the data does not meet the assumptions of metric scaling, such as linearity or interval measurement scales, allowing for more flexible analysis of complex data sets.