In Chapter 2, we discussed the different type of data measurement scales, which were nominal, ordinal, interval, and ratio. Here is a brief refresher of each:
◆ Nominal level of measurement deals strictly with qualitative data. Observations are simply assigned to predetermined categories. One example is gender of the respondent with the categories being male and female.
◆ Ordinal measurement is the next level up. It has all the properties of nominal data with the added feature that we can rank order the values from highest to lowest. An example would be ranking a movie as great, good, fair, or poor.
◆ Interval level of measurement involves strictly quantitative data. Here we can use the mathematical operations ...