Hi Amit,
Now remember, I haven't seen your research so I may be way off here...but...
If you sum the scores for each respondent on both of your scales, then you can basically take care of the Likert/ordinal problem because now you have "scores" so you can assume continuous variable.
Then you could compare the two measures with a Pearson's correlation just fine, because Pearson's doesn't care about the scale of the two variables. That is a nice thing about correlation.
I am also assuming these are the same people at both times. There may be a problem with the two tests being given at different times, but if the tests were on the same people you most likely would only have added error caused by the method or process, not much error added for the instrument or scale.
Hope this helps!
Elaine
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Elaine Eisenbeisz
Owner and Principal Statistician
Omega Statistics
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Original Message:
Sent: 01-25-2017 12:50
From: Amit Saha
Subject: Comparing two set of responses
HI ,
I need a suggestion about which statistical test to use.
We have two sets of response. Response one is a survey data based on 0-10 <g class="gr_ gr_225 gr-alert gr_spell gr_run_anim ContextualSpelling ins-del multiReplace" id="225" data-gr-id="225">likert</g> scale data. And the second one <g class="gr_ gr_341 gr-alert gr_gramm gr_run_anim Style multiReplace" id="341" data-gr-id="341">is a</g> survey based on 0-3 <g class="gr_ gr_310 gr-alert gr_spell gr_run_anim ContextualSpelling ins-del multiReplace" id="310" data-gr-id="310">likert</g> scale data. I am thinking of comparing Pearson coefficient skewness of the two responses. Any suggestion would be appreciated.
Thanks
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Amit Saha
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