MULTIDIMENSIONAL SCALING : AN INTRODUCTION

@inproceedings{Jacoby2012MULTIDIMENSIONALS,
  title={MULTIDIMENSIONAL SCALING : AN INTRODUCTION},
  author={William Jacoby},
  year={2012}
}
A. MDS produces a geometric model of proximities data 1. Start with data on similarities (or dissimilarities) among a set of stimulus objects. 2. MDS represents each stimulus as a point within a space. 3. Similarities are represented by interpoint distances— greater similarity between two stimuli is shown by a smaller distance between the two points representing those stimuli. B. Hopefully, the point configuration produced by MDS will make sense in substantive terms. 1. Clusters of points may… CONTINUE READING

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