Dogbrain said:Presuming that the survey was competently done and analyzed, you probably will not be able to just look at the survey and "rate" on a scale. If the survey was competently done, the "scales" used to present the results would not even exist when the survey was compiled. Instead, a very large number of factors would have been surveyed and then factor analysis would have been used to reduce the variables until the eigen vectors stopped sorting out. Then one goes back and puts names and labels on what you've found.
To quote from Mr. Reynolds' page:
"We generated this data by asking a series of questions during the Market Research study in 1999 to create what is called a "segmentation" of the players. The questions were not designed to find these four quadrents; they correleate to all kinds of player interest and behavior. The original survey had several hundred questions, but only about two dozen have a bearing on the segmentation results. Once the study was complete, the data was plotted in several dimensions to look for clusters of responses; those clusters became the five player types. Once we know the segmentation was there, we reverse-engineered the axes, by comparing the responses of the people in each segment to find similarities."
Which sounds to me like a de-jargoned description of the process. Most folks wouldn't know an eigen vector if it poked them in the tush, after all.
Given the survey, and the proper definition of the final axes the analysis generated, one should be able to take the survey and find where on the graph one sits. Unfortunately, if the person surveyed knows that this is the purpose, he or she is likely to skew the results (consciously or unconsiously), as they'll tend to attempt to match their answers to a desired category.