Which of the following is a characteristic of qualitative data?

Qualitative data is fundamentally different from quantitative data in that it focuses on non-numeric attributes and characteristics. One of the primary characteristics of qualitative data is that it is often categorical, meaning it categorizes observations into discrete categories based on traits or qualities rather than numeric values. For example, data can be classified into categories such as colors, types of behavior, or levels of satisfaction.

Additionally, qualitative data includes intangible traits such as satisfaction, feelings, or perceptions that cannot be quantified but are essential for understanding broader human experiences and behaviors. This emphasis on the subjective nature of data collection—often through interviews, open-ended surveys, and observations—highlights the importance of context and semantics in analysis.

Thus, the correct answer, which encompasses both the categorical nature of qualitative data and its focus on intangible traits, effectively captures the essence of qualitative data and demonstrates how it differs from quantitative measures.