On the Dangers of Averaging across Subjects When Using Multidimensional Scaling or the Similarity-choice Model

@inproceedings{Ashby1994OnTD,
  title={On the Dangers of Averaging across Subjects When Using Multidimensional Scaling or the Similarity-choice Model},
  author={Gregory Ashby and W... and Todd Maddox and W. L. L. William and Lee},
  year={1994}
}
  • Gregory Ashby, W..., +2 authors Lee
  • Published 1994
When ratings of judged similarity or frequencies of stimulus identification are averaged across subjects, the psychological structure ofthe data is fundamentally changed. Regardless of the structure of the individual-subject data, the averaged similarity data will likely be well fit by a standard multidimensional scaling model, and the averaged identification data will likely be well fit by the similarity-choice model. In fact, both models often provide excellent fits to averaged data, even if… CONTINUE READING