Amarasuriya et al. [ 25] found that the Personal Stigma Scale consisted of two dimensions of stigma (i.e., the "Weak-not-Sick" and "Dangerous- Undesirable" dimensions), and that the Social Distance Scale consisted of one dimension (i.e., the "Social Distance" dimension).
Findings indicate that male undergraduates have more negative attitudes about their depressed peers relating to the Dangerous-Undesirable dimension.
It is postulated that the perception of contagion of depression measured by this item aligns more with this 'Dangerous-Undesirable' dimension than the 'Weak-not-Sick' dimension.
The main point of the reviewer is the suggestion that the information dimension's undesirable property of increasing with noise makes it undesirable as an estimator.
In particular, the authors show data that their information dimension increases systematically with noise, clearly an undesirable property.
In fact, the anisotropic voxel dimensions are undesirable for many reasons, most importantly because they preclude reformatting of data in a plane different from the original one without severe penalties.
Only the effectiveness dimensions correlate with the physical component (r = 0.148; p = 0.038), along with the dimension of (absence of) undesirable side-effects with respect to the physical component (r = 0.167; p = 0.019) and the mental component (r = 0.231; p = 0.001).
It is also usually restricted to two dimensions, which is often an undesirable over-simplification given the essentially three-dimensional nature of many locomotor performances.
By contrast, the dimension showing the greatest independence was undesirable side-effects, which presented low correlations with respect to the dimensions of medical care (r = -0,10), effectiveness (r = -0,19), and general satisfaction (r = -0,18).
The information dimension's property of increasing with noise makes it undesirable as an estimator, and it can not be recommended.
The existing methods of simulating fractional Brownian motion suffer from a number of problems however: they are often not easily generalisable to an arbitrary number of dimensions and produce outputs that can exhibit some undesirable artefacts.
