See copyright notice at the bottom of this page.
List of All Posters
More Help Requested (March 4, 2004)
Discussion ThreadPosted 3:50 p.m.,
March 5, 2004
(#15) -
Joe(e-mail)
I work in market research and we run across this (the Bernie Williams effect) quite a bit. Obviously the solution is to have a large enough sample size (N) so that no one respondent skews the data enough to make any difference. The only interviews we would not use are ones that don't get completed for technical reasons, or where the respondent declines to continue. It is your survey and you can conduct it how you wish but if you do decide to exclude certain respondents you will drive yourself nuts, a) trying to decide which ones to exclude and b) finding the time to pull them out. Bob Mong made a good point, especially if you do decide to exclude some of the respondents, analyze the entire group and the group minus the exclusions and then run some type of t-test to see if there is significant difference between the two groups. It depends on how much time you want/have to spend on the project.