{"id":59137,"date":"2018-07-05T23:01:09","date_gmt":"2018-07-06T06:01:09","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/?p=59137"},"modified":"2025-01-14T03:03:33","modified_gmt":"2025-01-14T10:03:33","slug":"ordinal-data","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/ordinal-data\/","title":{"rendered":"Ordinal Data: Definition, Analysis, and Examples"},"content":{"rendered":"\n

If you work with data in any capacity, you must be familiar with the four major data types: nominal, ordinal, interval, and ratio. This blog will concentrate on ordinal data. We\u2019ll define, explore the characteristics, and provide examples of this data.<\/p>\n\n\n\n

Continue reading to learn everything you need to know about this data, its uses, analysis, and the difference between nominal and ordinal data.<\/p>\n\n\n\n\n\n

What is ordinal data?<\/h2>\n\n\n\n

Ordinal data is a statistical type of <\/span>quantitative data<\/span><\/a> in which variables exist in naturally occurring ordered categories. However, it cannot be used to determine the distance between the two categories.<\/span><\/p>\n\n\n\n

In statistics, a group of ordinal numbers indicates t<\/span>his data, and a group of this data is represented using an <\/span>ordinal scale<\/span><\/a>. The main difference between ordinal and nominal<\/a> data is that ordinal has an order of categories while nominal doesn\u2019t.<\/span><\/p>\n\n\n\n

Likert Scale<\/span><\/a> is a popular example <\/span>of this data. For a question such as: \u201cPlease express the importance pricing has for you to purchase a product.\u201d, a Likert Scale will have the following options, which are coded to 1, 2, 3, 4, and 5 (numbers). 1 is lesser than 2, which is lesser than 3, which is lesser than 4, which in turn is lesser than 5. \u00a0<\/span><\/p>\n\n\n\n

Very Important <\/span><\/td>Important <\/span><\/td>Neutral<\/span><\/td>Unimportant <\/span><\/td>Very Unimportant<\/span><\/td><\/tr>
1<\/span><\/td>2<\/span><\/td>3<\/span><\/td>4<\/span><\/td>5<\/span><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Ordinal data is thus a collection of ordinal variables, i.e., if you have variables in a particular order – \u201clow, medium, high,\u201d they can be represented as this kind of data. There are two important factors to consider for this data:<\/span><\/p>\n\n\n\n