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November 11th, 2016, 04:09 AM  #1 
Newbie Joined: Nov 2016 From: England Posts: 3 Thanks: 2  Scoring performance / normalising? standardising?
First time poster, have had a browse of the open question forum but can't find an answer to my problem... I don't know whether "normalising" is the correct term here or really what the terminology is for what I'm trying to achieve... so be gentle... I am required to generate a "score" for members of a team, based around a list of different criteria. Each criteria ultimately gives a reasonably convenient score that can be expressed as a %. So far so good. I had thought I could take an average of the % and be done. Key issue / problem for me here is that, of a total of 8 or so criteria, not all come in to play for each member. So, for members with less criteria in play, any low scores have a greater impact than for members with more criteria in play. For example: Member a criteria 1: 100% Criteria 2: 100% Criteria 3: 75% Criteria 4: 100% Average score: 93.75% Member b criteria 1: 100% Criteria 2: 100% Criteria 3: 75% Criteria 4: n/a Average score: 91.66% Ultimately meaning, member b is more negatively impacted for making the same error as member a. This scoring system is a hugely contentious topic! What options do I have for correcting the disadvantage for member b? Thanks in advance! Last edited by skipjack; November 11th, 2016 at 08:44 AM. 
November 11th, 2016, 04:21 AM  #2 
Senior Member Joined: Apr 2014 From: Glasgow Posts: 1,957 Thanks: 639 Math Focus: Physics, mathematical modelling, numerical and computational solutions 
If you want to make a scoring system based on 'error', then you could change the results to be (100%  quoted value) and then just total up the error. Something like this: Member a criteria 1: 0% Criteria 2: 0% Criteria 3: 25% Criteria 4: 0% Total 'error': 25% Member b criteria 1: 0% Criteria 2: 0% Criteria 3: 25% Criteria 4: n/a Total 'error': 25% Then you base your score on the total 'error' value. If you want some sort of metric for average that doesn't depend on the number of points, then I think you're going to be out of luck. 
November 11th, 2016, 04:33 AM  #3 
Newbie Joined: Nov 2016 From: England Posts: 3 Thanks: 2 
Thanks Benit13 That's something I can work with, I think. I'm off to trawl through the spreadsheets. Last edited by skipjack; November 11th, 2016 at 08:45 AM. 

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