I have a dataset of the performance of probands in an experiment. An observer watching the performance noted positive and negative performance remarks on a simple tally, and ended up with something like
Proband ID Positive Remarks Negative Remarks 1 5 2 2 12 8 3 6 0
(assuming that each remark has equal weight.)
I would like to rate probands based on a combination of positive and negative remarks to be able to state a mean / median performance, to check for peculiar deviations and outliers, and to ultimately test for dependencies on other variables.
Intuitively, I would use a simple relation of
Positive Remarks / Negative Remarks. Eyeballing this looks promising, but there are lots of zeros in the negative remarks.
How could I combine these variables into a single performance rating preferrably expressing the relation of positive to negative remarks in the presence of zeros?
I have checked related questions:
- "How do I order or rank a set of experts?" points to Keeney & Raiffa which I will at some point look into, but maybe there is a quicker answer.
- "How do I combine two related variables into one?" is somewhat related, but has been closed as unclear.