**Core Concept**
This question assesses the student's understanding of the different types of scales used in data measurement and interpretation. The correct answer, Ordinal scale, is a type of scale that ranks data in a particular order, but does not provide a precise measurement of the differences between the ranks.

**Why the Correct Answer is Right**
The given scale (Satisfied, Very satisfied, Dissatisfied) is an example of an Ordinal scale because it ranks the responses in a particular order, from most positive (Very satisfied) to least positive (Dissatisfied). However, the differences between these ranks are not equal, and the exact magnitude of the differences is not quantifiable. For instance, the difference between Satisfied and Dissatisfied may not be the same as the difference between Very satisfied and Satisfied. This type of scale is commonly used in surveys and questionnaires to gauge opinions and attitudes.

**Why Each Wrong Option is Incorrect**
**Option A:** Nominal scale is incorrect because it is a type of scale that labels data without any inherent order or ranking, such as male/female or red/blue. The given scale has a clear ranking, making it an Ordinal scale.
**Option C:** Interval scale is incorrect because it is a type of scale that has equal intervals between consecutive values, but no true zero point. Examples include temperature in Celsius or Fahrenheit. The given scale does not have equal intervals between consecutive values.
**Option D:** Ratio scale is incorrect because it is a type of scale that has a true zero point and equal intervals between consecutive values. Examples include weight or height. The given scale does not have a true zero point.

**Clinical Pearl / High-Yield Fact**
When interpreting data from surveys or questionnaires, it's essential to recognize the type of scale used to avoid misinterpreting the results. Ordinal scales, like the one in this question, are commonly used to gauge opinions and attitudes, but they should be analyzed with caution, as the differences between ranks may not be equal.

**✓ Correct Answer: B. Ordinal. An Ordinal scale ranks data in a particular order, but does not provide a precise measurement of the differences between the ranks.**