Nominal scalesNominal scales Gender is an example of a nominal measurement in which a number (e.g., 1) is used to label one gender, such as males, and a different number (e.g., 2) is used for the other gender, females.
For example, a person's gender, ethnicity, hair color etc. are considered to be data for a nominal scale.
The four scales of measurementNominal scale of measurement.Ordinal scale of measurement.Interval scale of measurement.Ratio scale of measurement.
Ordinal scalesOrdinal scales rank-order observations. Class rank and horse race results are examples. There are two salient attributes of an ordinal scale.
Examples of nominal data include country, gender, race, hair color etc. of a group of people, while that of ordinal data includes having a position in class as “First” or “Second”. Note that the nominal data examples are nouns, with no order to them while ordinal data examples come with a level of order.
For example, gender is a categorical data because it can be categorized into male and female according to some unique qualities possessed by each gender. There are 2 main types of categorical data, namely; nominal data and ordinal data.
“Ordinal” indicates “order”. Ordinal data is quantitative data which have naturally occurring orders and the difference between is unknown. It can be named, grouped and also ranked. For example: “How satisfied are you with our products?”
A nominal scale is a scale (of measurement) that uses labels to classify cases (measurements) into classes. Some examples of variables that use nominal scales would be religious affiliation, sex, the city where you live, etc. Example. One example of a nominal scale could be "sex".
The Ordinal scale includes statistical data type where variables are in order or rank but without a degree of difference between categories. The ordinal scale contains qualitative data; 'ordinal' meaning 'order'. It places variables in order/rank, only permitting to measure the value as higher or lower in scale.
A nominal scale is a scale of measurement used to assign events or objects into discrete categories. This form of scale does not require the use of numeric values or categories ranked by class, but simply unique identifiers to label each distinct category.
Nominal scale is a naming scale, where variables are simply “named” or labeled, with no specific order. Ordinal scale has all its variables in a specific order, beyond just naming them. Interval scale offers labels, order, as well as, a specific interval between each of its variable options.
ratio variableAge is considered a ratio variable because it has a “true zero” value. It's possible for an individual to be zero years old (a newborn) and we can say that the difference between 0 years and 10 years is the same as the difference between 10 years and 20 years.
In this article, we will learn four types of scales such as nominal, ordinal, interval and ratio scale .
It is defined as a quantitative measurement scale in which the difference between the two variables is meaningful. In other words, the variables are measured in an exact manner, not as in a relative way in which the presence of zero is arbitrary.
A nominal scale is the 1 st level of measurement scale in which the numbers serve as “tags” or “labels” to classify or identify the objects. A nominal scale usually deals with the non-numeric variables or the numbers that do not have any value.
The interval scale is quantitative as it can quantify the difference between the values. It allows calculating the mean and median of the variables. To understand the difference between the variables, you can subtract the values between the variables.
The ratio scale is the 4 th level of measurement scale, which is quantitative. It is a type of variable measurement scale. It allows researchers to compare the differences or intervals. The ratio scale has a unique feature. It possesses the character of the origin or zero points.
It doesn’t have negative numbers, because of its zero-point feature. It affords unique opportunities for statistical analysis. The variables can be orderly added, subtracted, multiplied, divided. Mean, median, and mode can be calculated using the ratio scale. Ratio scale has unique and useful properties.
A nominal scale variable is classified into two or more categories. In this measurement mechanism, the answer should fall into either of the classes. It is qualitative. The numbers are used here to identify the objects. The numbers don’t define the object characteristics. The only permissible aspect of numbers in the nominal scale is “counting.”.