C. Hatton Humphrey wrote:
>> 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.
>> 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?
> 
> At the school where I went we were told that all "straight-line"
> surveys would not be counted.  Additionally we had to indicate that we
> had completed the survey by marking a "completed" circle (these were
> paper surveys, scantron style).
> 
> You're talking more about a judgement call than a logical one.

Not at all. Outlier detection is a branch of statistics that is a 
genuine science with strict rules. (But also something I do not 
have fond memories off.)

To do it quick and dirty I would look along the lines of:
- calculate the averags of all entries
- calculate the standard deviation of all entries
- calculate the mean of all entries
- calculate the number of entries that deviate from the mean
Then look for entries with a low standard deviation (indicating 
somebody used the same answer everywhere), entries with a high 
standard deviation (randm) or entries with a medium/high standard 
deviation but a low number of entries deviating from the mean 
(all 1 and a few 5 or vice-versa).
Add additional checks to see if all answers occur at least once 
etc. and when calculating the results look into presenting it 
graphically with a dot for the average and a line indicating the 
relative size of the standard deviation.
Most databases have statistical functions that can help.

If you want to do it right, buy a book on statistics.

Jochem

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