What you are prosing is called semantic differential. Think very
carefully about the terms you use... it it not as simple as you might
think. getting those terms right is the single hardest part of this
technique and has the potential to radically skew your results. There
is quite a bit of information out there now that you know what to call
it.

The problem with most lickert scale surveys (not like it, 1 - like it,
10) is that the survey will be pre bias towards an aggregate score of
seven. It is really hard to get around that when people administer the
survey and people are taking it.

Mark



On Tue, May 20, 2008 at 9:12 AM, chiwah liu <[EMAIL PROTECTED]> wrote:
>
> 2008/5/20 chiwah liu <[EMAIL PROTECTED]>
> I am thinking about bipolar scale. For example to ask users to rate a
> bipolar scale between "attractive" vs "un attractive"
>
> What do you think ?
>
> ----------------------------------------
>
> I am also thinking; would bipolar scales diminish the probability of
> positivity bias? I mean we could ask for example if a product is, for
> example, professional. And ask participant to rate it from strongly agree to
> strongly disagree. Participants would have a tendency to agree.
>
> But if I ask participants to choose between professional and amateur, they
> could not be agree of disagree, they just have to choose. And they have a
> better understanding of what is being measured.
>
> Is my hypothesis right ?
>
>
> Regards,
>
> Chiwah
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