Hello, here's my basic problem - I would appreciate any help. We use a weighted system based on 1 (developing) ,2 (performing) ,3 (leading) to evaluate an employee's rating using various metrics. Each metric has a weighted value.

Example:

Apples Goal 50% w: result 2 (performing) Oranges Goal 20% w: result 3 (leading) Grapes Goal: 30% w: result 1 (developing)

2(.50)+ 3(.2)+ 1(.30) = 1.9 Final Score

We try to set each indvidual metric to meet a simple distribution: 15% of employees will likely hit 1 (dev), 70% 2 (perf), and 15% 3(leading)

So here's where my knowledge of stats ends - how do I figure out what final score range would also lead to an overall 15%,70%,15% distribution?

example Final Score Thresholds (incorrect)

...>= 2.5 leading ...>= 1.5 perf ...< 1.5 dev

If it was just a single stat like "Apples" I could use 3,2,1 because we already know this dist. But I can't use 3.0 for leading when several stats are involved, because it seems to me the odds have now decreased that the top 15% of employees could exist in all 3 metrics of apples, oranges, and grapes?

Thank you for your time,

- Tim / Dublin,Ohio USA

againstclosing $\endgroup$ – Yemon Choi Dec 16 '10 at 20:34