When unidimensional stimulus sets are subjected to a nonmetric scaling in two dimensions, the stimuli frequently form a C- or S-shaped configuration. In simulated unidimensional data scaled in two dimensions, stimuli formed a C-shaped configuration when the monotone function relating distances to dissimilarity data was negatively accelerating. They formed an S-shaped configuration when the monotone function was positively accelerating. Results suggest that when unidimensional stimulus sets are scaled in two dimensions using a rational starting configuration, the nature of the two-dimensional configuration can indicate the general form of the function mapping psychological dissimilarity, represented as distance in the scaling m...
A number of model-based scaling methods have been developed that apply to asymmetric proximity matri...
This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for ap...
Miller (1956) identified his famous limit of 7 ± 2 items based in part on absolute identification—th...
It is often possible to construct unidimensional scales of multidimen-sional stimuli. Thurstonian sc...
textabstractMultidimensional scaling is a statistical technique to visualize dissimilarity data. In ...
Prior studies have shown that humans can create a perceptual space of 3D objects that is highly cong...
A number of model-based scaling methods have been developed that apply to asymmetric proximity mat...
Although Richardson (1938) and Young and Householder (1938) may have officially initiated the mult...
We introduce a multidimensional scaling procedure that attempts to derive a spatial representation o...
This thesis focuses on the psychological applications of Multidimensional Scaling (MDS) theory and m...
Absolute identification exposes a fundamental limit in human information processing. Recent studies ...
A central focus of cognitive neuroscience is identification of the neural codes that represent stimu...
<p>A multidimensional scaling technique is used to illustrate the capability of the likelihood space...
The issue of unidimensionality is dealt with in various research areas in the field of Psychology (e...
<p>An exemplary multidimensional scaling result derived from the data shown in <a href="http://www.p...
A number of model-based scaling methods have been developed that apply to asymmetric proximity matri...
This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for ap...
Miller (1956) identified his famous limit of 7 ± 2 items based in part on absolute identification—th...
It is often possible to construct unidimensional scales of multidimen-sional stimuli. Thurstonian sc...
textabstractMultidimensional scaling is a statistical technique to visualize dissimilarity data. In ...
Prior studies have shown that humans can create a perceptual space of 3D objects that is highly cong...
A number of model-based scaling methods have been developed that apply to asymmetric proximity mat...
Although Richardson (1938) and Young and Householder (1938) may have officially initiated the mult...
We introduce a multidimensional scaling procedure that attempts to derive a spatial representation o...
This thesis focuses on the psychological applications of Multidimensional Scaling (MDS) theory and m...
Absolute identification exposes a fundamental limit in human information processing. Recent studies ...
A central focus of cognitive neuroscience is identification of the neural codes that represent stimu...
<p>A multidimensional scaling technique is used to illustrate the capability of the likelihood space...
The issue of unidimensionality is dealt with in various research areas in the field of Psychology (e...
<p>An exemplary multidimensional scaling result derived from the data shown in <a href="http://www.p...
A number of model-based scaling methods have been developed that apply to asymmetric proximity matri...
This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for ap...
Miller (1956) identified his famous limit of 7 ± 2 items based in part on absolute identification—th...