Behavior Research Methods

, Volume 37, Issue 1, pp 37–47

Determining the significance of scale values from multidimensional scaling profile analysis using a resampling method


DOI: 10.3758/BF03206396

Cite this article as:
Ding, C.S. Behavior Research Methods (2005) 37: 37. doi:10.3758/BF03206396


Although multidimensional scaling (MDS) profile analysis is widely used to study individual differences, there is no objective way to evaluate the statistical significance of the estimated scale values. In the present study, a resampling technique (bootstrapping) was used to construct confidence limits for scale values estimated from MDS profile analysis. These bootstrap confidence limits were used, in turn, to evaluate the significance of marker variables of the profiles. The results from analyses of both simulation data and real data suggest that the bootstrap method may be valid and may be used to evaluate hypotheses about the statistical significance of marker variables of MDS profiles.

Download to read the full article text

Copyright information

© Psychonomic Society, Inc. 2005

Authors and Affiliations

  1. 1.College of EducationUniversity of MissouriSt. Louis