|
Questions? |
 eMail us
at |
|
admin02 at audience-responses.com |
| |
|
|
| Audience Response
Systems and Audience Voting Systems need to have simple clear audience
survey questions to yield accurate data. |
|
|
|
| Audience Response Results Graph: Bimodal
Distribution |
|
| The bimodal graph is characterized by two
distinct peaks. Most often, the peaks are near opposite ends of
the scale, but they are always separated by one or more bars. |
|
|
 |
|
| A bimodal distribution typically
indicates that there is substantial disagreement. However, it can
also mean that the question itself is unclear, or is being perceived
differently by different people. |
|
| For example, if you were to present the
statement "Our level of customer service has improved and our customers
obviously recognize it" and ask people to respond where 1 is strong
disagreement and 7 is strong agreement, you might very well see a
bimodal distribution. |
|
| Some might disagree because they feel that
customer service has not improved, while others may feel it has
in fact improved, but that it is not at all obvious to customers.
So, clarification here is critical. If you find a true difference
of opinion, so be it. However, if it appears that the question is
ambiguous, change it. |
|
| In the example above, you might split the
statement into two different votes. The first question would ask
whether customer service has improved, and the second might ask whether
customers are noticing. Although the bimodal response may
require some effort to clarify, a rectangular distribution is the often
the most difficult. |
|
|
Understanding Rectangular Distribution ->
|
|
|
