A new 'bipolar' R-index analysis was proposed and evaluated. Eighteen judge
s evaluated red color in eight wine samples by comparing each sample with t
he control. Judges indicated whether the sample had 'more', the 'same', or
'less' red color than the control, and whether they were sure or unsure of
their decision. Three computational methods were used to examine the result
s: the 'traditional' R-index, the 'bipolar' R-index (R-more or R-less) and
the 'weighted-bipolar' R-index. While all three methods provided consistent
results, the 'bipolar' R-indices reflected bidirectional differences among
the samples thus providing more information. A refinement to the computati
on ('weighted-bipolar' R-index) was an approach for eliminating the bias as
sociated with overestimation of the sample size and accordingly changed som
e of the significance levels. Further research is currently underway to exp
and the scope and application of this method.