Analyzing repeated difference tests aims in significance testing for differences as well as in estimating the mean discrimination ability of the consumers. In addition to the average success probability, the proportion of consumers that may detect the difference between two products and...

The target of our considerations is whether or not we can find significant differences between subgroups of consumers with respect to given hedonic variables. For this purpose a STATISconsensus is computed for each group and the dissimilarities between groups are judged with the help of the...

We show that adding replications in replicated difference test results in larger power and smaller variance when the number of assessors is fixed. On the other hand, when the number of total assessments is fixed, the power usually decreases and the variability increases whenever replications are...

We consider the triangle test with replications, i.e. each assessor is asked repeatedly. A commonly used test statistic for this situation is the sum of all correct assessments, summed over all assessors. Several authors (e.g. o’Mahony, 1982, Brockhoff and Schlich, 1998) argue that the...