Example: Car-1, Buses-2; It is a measure that … The simplest measurement scale we can use to label variables is a nominal scale. Nominal Clauses . Nominal. Examples of nominal variables include region, zip code, or religious affiliation. The nominal scale is a measurement scale that lists names (categories.) In this post, we define each measurement scale and provide examples of variables that can be used with each scale. Nominal data is discrete data and there is no particular order with a nominal measurement scale.. Use: Think of going to your favorite fast food restaurant. Nominal scale: A scale used to label variables that have no quantitative values. Ordinal. However, for other variables, you can choose the level of measurement . Nominal clauses contain a verb and often begin with words such as what (or other wh-words) or that. The nominal scale uses categories, so finding the median makes no sense. The nominal scale can also be coded by the researcher in order to ease out the analysis process, for example; M=Female, F= Female. 4. Interval. A variable can be treated as nominal when its values represent categories with no intrinsic ranking; for example, the department of the company in which an employee works. 3. For example, whether a person eats breakfast or not is a variable - it varies from person to person and perhaps from day to day. Nominal scale deals with the non-numeric data that is with the categorical data; It is a system of assigning number to the variable to label them only for identification and to distinguish them from each other. Ratio. "The clause starts with a wh-word, contains a verb, and functions, taken whole, as a noun. However, a mode (the most frequent item in the set) is possible. For example, income is a variable that can be recorded on an ordinal or a ratio scale: 2. Consider, for example, the sentence "He can go wherever he wants. Coined from the Latin nomenclature “Nomen” (meaning name), it is sometimes called “labelled” or “named” data. For example, the restaurant manager might list the first names of the employees, or might list the models of the cars that they drive. Nominal data (also known as nominal scale) is a classification of categorical variables, that do not provide any quantitative value. Examples of nominal variables include region, zip code, or gender of individual or religious affiliation. Nominal. For example, gender and ethnicity are always nominal level data because they cannot be ranked. For example the department of the company in which an employee works. These are called that- clauses and wh- clauses or relative clauses. You could put the items in alphabetical order but even then, the middle item would have no meaning as a median.