drop the top 25% and bottom 25%
or report ALL the data and few ways to look at it.

is it tied to remuneration? or just for discussion?

Maybe a little more discussion on the apps intent will help.

>> block cheaters?
are they cheating really?

What's the nature of the work?
Is there a reason why their managers are disconnected from their
performance? Are there other performance metrics available? Are they being
used?

Is this a "learning organization"? ie steady flow of learning?

Eric

-----Original Message-----
From: Dave Francis [mailto:[EMAIL PROTECTED] 
Sent: June 1, 2005 10:32 PM
To: CF-Talk
Subject: RE: Dealing with users

It's been a while, but I seem to remember something about using median (or
maybe its mode?) rather than mean to reduce the impact of very low/high
entries?


-----Original Message-----
From: Thane Sherrington [mailto:[EMAIL PROTECTED]
Sent: Wednesday, June 01, 2005 9:03 PM
To: CF-Talk
Subject: Dealing with users


Here's a a problem I'm wrestling with.  I have a company doing on-line
performance reviews.  Each employee rates a set of other employees on a
survey which has six categories with between 3 and 7 questions in each
category.

The problem is that there are a couple bad apples who blow through the
surveys rating someone either all 1s or all 5s, throwing off that person's
ratings and effectively ruining the value of the performance review.

My first attempt to stop this was to time the surveys.  People who finished
them in less than five minutes (the cheaters generally take two minutes)
got a message telling them to go back and think about their answers and try
again.  That didn't work because it turned out that several non-cheaters
print out the review and do it on paper, and then login to enter the
answers - since they were working from paper, they finished the review in
under five minutes.

Then I tried checking each category - if all the answers in a specific
category were the same, I rejected the review and told them to do it
again.  No soap - occasionally there are legitimate reviews where one
category has all the same answers.

So then I switched to checking the entire survey.  If all the answers are
same, the survey gets rejected.  It took the cheaters slightly under a
quarter of a second to figure that one out, as you can imagine.

The surveys are all anonymous, so I can't simply go to the person entering
the survey and tell him/her to stop cheating.

Can anyone think of a way to monitor and block the cheaters?

T

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