
The levels of measurement of data have little to do with establishing whether the data is continuous or discreet (Creswell, 2003). An example is the number of questions a student answers correctly in an exam. This data has continuums that include absolute zero points. An example of this would be the scores of an IQ test on a 5-point likert scale. Ideally, it has continuums that have equally spaced intervals. An example is a list of one’s priorities or a student’s score board.


This type of data allows for ranking or determining of intensity. For instance, we might have a set of data in which we have five students, three professors and ten parents. Nominal data is where we have numbers only representing their respective labels.

The measurement of data revolves around four main types of data (Nachmias & Chava 2007).
