What issues will be determining factors in selecting measurement scales?
Some of the factors are:
- The type of data that is required from the respondent – ratio, interval, ordinal or nominal.
- How the information will be used once it is acquired.
- Number of divisions in the scale – odd or even.
- Types of statistical analysis methods to be used after data is acquired.
What is the ratio scale of measurement?
A ratio scale is a quantitative scale where there is a true zero and equal intervals between neighboring points. Unlike on an interval scale, a zero on a ratio scale means there is a total absence of the variable you are measuring. Length, area, and population are examples of ratio scales.
What is ordinal scale of measurement?
An ordinal scale is a scale (of measurement) that uses labels to classify cases (measurements) into ordered classes. Note that an ordinal scale implies that the classes must be put into an order such that each case in one class is considered greater than (or less than) every case in another class.
Is weight ordinal or nominal?
4. Nominal Ordinal Interval Ratio. Weight is measured on the ratio scale.
Is blood pressure nominal or ordinal?
Most physical measures, such as height, weight, systolic blood pressure, distance etc., are interval or ratio scales, so they fall into the general “continuous ” category. Therefore, normal theory type statistics are also used when a such a measure serves as the dependent variable in an analysis.
What is difference between interval and ratio scale?
The difference between interval and ratio scales comes from their ability to dip below zero. Interval scales hold no true zero and can represent values below zero. For example, you can measure temperature below 0 degrees Celsius, such as -10 degrees. Ratio variables, on the other hand, never fall below zero.
What are examples of level of measurement?
Four Measurement Levels
- Nominal scales. Nominal scales contain the least amount of information.
- Ordinal scales. Ordinal scales present more information than nominal scales and are, therefore, a higher level of measurement.
- Interval scales.
- Ratio scales.
What is nominal level of measurement?
A Nominal Scale is a measurement scale, in which numbers serve as “tags” or “labels” only, to identify or classify an object. A nominal scale measurement normally deals only with non-numeric (quantitative) variables or where numbers have no value. Below is an example of Nominal level of measurement.
What is a nominal level of measurement examples?
In nominal measurement the numerical values just “name” the attribute uniquely. No ordering of the cases is implied. For example, jersey numbers in basketball are measures at the nominal level.
What is ordinal data type?
Ordinal data is a statistical type of quantitative data in which variables exist in naturally occurring ordered categories. The distance between two categories is not established using ordinal data.