Some historical background and preliminary technical information are f
irst presented, and then a number of hidden, but important, methodolog
ical aspects of dual scaling are illustrated and discussed: normed ver
sus projected weights, the amount of information accounted for by each
solution, a perfect solution to the problem of multidimensional unfol
ding, multidimensional quantification space, graphical display, number
-of-option problems, option standardization versus item standardizatio
n, and asymmetry of symmetric (dual) scaling. Contrary to the common p
erception that dual scaling and similar quantification methods are now
mathematically transparent, the present study demonstrates how much m
ore needs to be clarified for routine use of the method to arrive at v
alid conclusions. Data analysis must be carried out in such a way that
common sense, intuition and sound logic will prevail.