Qualitative items with multiple predefined values are known as what type of data?

When considering qualitative items with multiple predefined values, this type of data is identified as discrete data. Discrete data refers to variables that can take on a finite number of distinct values or categories within a given range. Examples include responses such as 'Yes' or 'No,' or categories like 'Low,' 'Medium,' and 'High.' Each value is countable and separate from one another.

In contrast, continuous data pertains to variables that can take any value within a given range, including fractions and decimals, which is not applicable to predefined qualitative items. Implicit data typically suggests information that is not directly expressed but inferred or implied, making it different from a structured set of predefined values. Random data refers to outcomes that result from chance, which again does not align with the concept of defined categories. Therefore, the identification as discrete data aligns well with the characteristics of qualitative items organized into specific, countable categories.