Final answer:
All of the options provided (Nominal, Ordinal, Interval, and Ratio) are correctly identified as the four levels of measurement proposed by Stevens.
Step-by-step explanation:
The four levels of measurement proposed by Stevens are Nominal, Ordinal, Interval, and Ratio. These levels of measurement guide how data should be collected, ordered, and used in analysis. Each level has specific characteristics that determine the appropriate statistical operations that can be conducted with the data.
- Nominal scale level: Data that is qualitative and categorized without any inherent order, such as names, labels, or colors.
- Ordinal scale level: Data that can be ordered or ranked, but the differences between data points cannot be measured, like satisfaction levels (excellent, good, satisfactory, unsatisfactory).
- Interval scale level: Data with a definite ordering where the differences between data points can be measured, but there is no absolute zero point, such as temperature in Celsius or Fahrenheit.
- Ratio scale level: Data that is ordered, has measurable differences, and includes an absolute zero point, allowing for the calculation of ratios, such as weight or height.
To specifically address the student's question, all of the options listed (Nominal, Ordinal, Interval, Ratio) are indeed the four levels of measurements proposed by Stevens.