How is the interval scale more sophisticated than the nominal and ordinal scales?

The interval scale is considered more sophisticated than the nominal and ordinal scales due to the following reasons:

1. Level of Measurement: The interval scale is a higher level of measurement compared to nominal and ordinal scales. Nominal scale is the simplest form of measurement that categorizes data into distinct groups with no order or priority. Ordinal scale not only categorizes data, but also arranges them in a certain order. However, the interval scale goes a step further by not only categorizing and ordering data, but also quantifying the exact difference between each data point.

2. Quantitative Data: Interval scales provide quantitative data rather than qualitative. This means that the data can be added, subtracted, and used in calculations that require numerical operations. This is not possible with nominal or ordinal scales.

3. Equal Intervals: As the name suggests, the interval scale measures the degree of difference between intervals. The intervals between the scale values are equally spaced. This is not the case with nominal or ordinal scales.

4. Presence of Zero Point: Unlike nominal and ordinal scales, interval scales have a zero point, but it is not absolute. This means that while you can say that one value is higher than another, you cannot say that it is, for example, twice as much.

In summary, the interval scale is more sophisticated because it provides more detailed and quantitative information about the data being measured.