Whenever ordinal data are converted into interval data,
A) the tied ordinal scores must be averaged, and assigned the same interval value
B) the tied ordinal scores must be eliminated from the analysis
C) the tied ordinal scores must be assigned different interval values
D) none of these, since ordinal data should not be converted into interval

Question

Quizplus · Accepted Answer

Converting ordinal data into interval data is not appropriate because ordinal data represent categories with a meaningful order but without a consistent scale between categories, while interval data have consistent scales between values. This fundamental difference in scale and meaning makes such conversion invalid.

Whenever Ordinal Data Are Converted into Interval Data