Qualitative items that have three or more predefined values are known as:

Qualitative items that have three or more predefined values are best described as categorical data. Categorical data represents characteristics and can be divided into different categories, which may include levels or groups defined by words or labels rather than numerical values.

Within categorical data, there are different types: nominal data, which refers to categories without a specific order, and ordinal data, which refers to categories with a defined, meaningful order. Discrete data, on the other hand, refers to countable data points that are often numerical, such as whole numbers, but does not fit the description of qualitative items with predefined values in the same context.

Understanding the distinction between these types is essential for proper data analysis and interpretation in assessment administration, as it helps determine how to treat and analyze the data accurately. Categorical data is particularly useful when establishing categories where responses fit into more than just two options, providing a richer dataset for evaluation.