I need your advice. I have a data file, with a binary dependent variable and some independent ones.

For each person (case), there were 3 measures of characteristics, and in order to identify the person's charateristic (among the 3), the researcher want to choose the highest measure (ex. if in the 1st measure one get 23 and in the 2nd 34, then he's got the second characteristic). I need to use the characteristic of a person as an independent variable. The problem is, what to do if someone has similar measures in 2 or 3 characterisics ? How do I choose ? A researcher (in this hypothetical situation) said to add the 3 measures as independent variables and to evalutate the influence of high and low levels in each measure on the dependent variable.

Is it valid to do so ? Do you have other solutions to this problem ?

(It's a problem because people might have equal measures and then you can't choose a characteristic, or if there were not 3 measures but 7, it would have been a complicated variable).