Report post

What is the difference between nominal and ordinal data?

Ordinal is the second of 4 hierarchical levels of measurement: nominal, ordinal, interval, and ratio. The levels of measurement indicate how precisely data is recorded. While nominal and ordinal variables are categorical, interval and ratio variables are quantitative. Nominal data differs from ordinal data becauseit cannot be ranked in an order.

What statistics can be obtained using ordinal data?

Highlighted the descriptive statistics you can obtain using ordinal data: Frequency distribution, measures of central tendency (the mode and median), and variability (the range). Introduced some non-parametric statistical tests for analyzing ordinal data, e.g. Mood’s median test and the Kruskal-Wallis H test.

Is ordinal data a qualitative data?

Ordinal data share properties with both nominal and continuous variables yet are distinct from either. Ordinal and nominal data are discrete variables that define categories. Consequently, statisticians consider both types to be qualitative data. However, you can rank ordinal data, which is impossible with nominal data.

Which scale is ordinal?

Therefore, this scale is ordinal. Ordinal is thesecond of 4 hierarchical levels of measurement: nominal, ordinal, interval, and ratio. The levels of measurement indicate how precisely data is recorded. While nominal and ordinal variables are categorical, interval and ratio variables are quantitative.

Related articles

The World's Leading Crypto Trading Platform

Get my welcome gifts