We then selected three items from each of the nine cells of
the matrix to use in the study. These items were selected to “best”
represent a particular cell while maximally varying in salience
and relatedness between conditions. For instance, from the high
salience/high relatedness cell we took the three items that got the
highest scores on both dimensions, and from the medium salience/
low relatedness cell we selected the ones whose salience scores
were average within the cell while having the lowest relatedness
scores compared to the other items in the same cell. Mean salience
and relatedness scores of the items finally selected are presented
in Table 1. The selection of three items from each cell instead of
one was to minimize selection bias. By selecting three items and
using one of these three in the source sets given to participants, we
aimed to ensure the proper representation of each cell in the study.