Ordinal and nominal scales are fundamental in data measurement for categorizing and ranking data in various fields.
Ordinal scales are used to measure rank-ordered data where attributes are ranked but the differences between them cannot be quantified. For example, a survey asking for responses like 'strongly agree,' 'somewhat agree,' etc., uses an ordinal scale. These scales provide an order but not the magnitude of difference.
Nominal scales are the most basic and qualitative type where data is categorized without any specific order. Examples include gender, religious affiliation, etc. The data under nominal scales cannot be ordered or used for calculations.
Ordinal and nominal scales are fundamental in data measurement in various fields like psychology, sociology, and natural sciences, helping researchers categorize and rank data for analysis and interpretation.
https://brainly.com/question/33831817