Multidimensional scaling (MDS) is a classical approach to the problem of finding underlying attributes or dimensions, which influence how subjects evaluate a given set of objects or stimuli. This paper provides a brief introduction to MDS. Its basic
applications are outlined by several examples. For the interested reader a short overview of recommended literature is appended. The purpose of this paper is to facilitate the first contact with MDS to the non-statistician.