27
Mar
Nominal And Ordinal Scales. Nominal ordinal interval and ratio. Both these measurement scales have their significance in surveysquestionnaires polls and their subsequent statistical analysis. The data can be defined as being one of the four scales. The four types of scales are.
Nominal scale is used to name variables and Ordinal scale provides information about the order of the variables. Because of this ordinal scales have more applications than a nominal scale. A variable can be treated as nominal when its values represent categories with no intrinsic ranking. Ordinal data kicks things up a notch. Nominal ordinal interval and ratio. Nominal and ordinal data can be either string alphanumeric or numeric but what is the difference.
To recap nominal scales only take into consideration the label of the options while ignoring order.
Nominal and ordinal data are part of the four data measurement scales in research and statistics with the other two being an interval and ratio data. A variable can be treated as nominal when its values represent categories with no intrinsic ranking. Interval scales give us the order of values the ability to quantify the difference between each one. These four data measurement scales are subcategories of categorical and numerical data. Here are some examples of ordinal data. There are four different scales of measurement.