  Rating scales are used to elicit data about qualitative entities (e.g.,
research collaboration). This study presents an innovative method for reducing
the number of rating scale items without the predictability loss. The "area
under the receiver operator curve method" (AUC ROC) is used. The presented
method has reduced the number of rating scale items (variables) to 28.57\%
(from 21 to 6) making over 70\% of collected data unnecessary.
  Results have been verified by two methods of analysis: Graded Response Model
(GRM) and Confirmatory Factor Analysis (CFA). GRM revealed that the new method
differentiates observations of high and middle scores. CFA proved that the
reliability of the rating scale has not deteriorated by the scale item
reduction. Both statistical analysis evidenced usefulness of the AUC ROC
reduction method.
