Thanks for your answer Doug,
That reassures me :-).
Just one more thing, could you give me the references of the main MonteCarlo 
studies you were alluding to ?

I Thank you in advance.

Best,

Arnaud Trollé.
 
  ----- Original Message ----- 
  From: J. Douglas Carroll 
  To: [email protected] 
  Sent: Monday, March 26, 2007 7:39 PM
  Subject: Re: Dissimilarity data obtained from 7-category scale & INDSCAL ?


  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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