Yes, no problem. INDSCAL and its variant for the
symmetric case of three-way proximity data called
SINDSCAL (written by Sandra Pruzansky, and much
more user friendly than the original INDSCAL
program written by Jih-Jie Chang) is quite often
used with ordinal scale data, with results that
are very successful-- as shown in a number of Monte Carlo studies.
Best,
Doug Carroll
At 08:16 AM 3/26/2007, Arnaud Trollé wrote:
Hello,
I've got a doubt about the following point : I
have used Indscal in order to process
dissimilarity data directly obtained from a
pairwise comparison test during which judgments
were produced on a seven-category scale labelled
from '0' to '6' (very similar to very
dissimilar). To my knowledge, one condition to
use Indscal is to have at one's disposal
dissimilarity data of metric level (interval
level or ratio level); the subjects were told to
consider the category-scale as metric (e.g. a
rating equal to '4' implies stimuli twice more
different than a rating equal to '2'), an a
posteriori check of this assumption (using the
successive interval method) was first carried
out. But as far as this assumption is shown
acceptable, is it sufficient to be able to
process this kind of data with Indscal ?
Can anyone help me to dispel this doubt ?
Many thanks.
Arnaud.
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