What distinguishes qualitative data from quantitative data?

Qualitative data is characterized by its descriptive and exploratory nature, making it distinct from quantitative data. This type of data provides insights into the subjective experiences and feelings of individuals, often capturing the nuances of human behavior, attitudes, and interactions. Qualitative data typically involves open-ended questions, interviews, focus groups, and observations, enabling a deeper understanding of complex phenomena that cannot be easily quantified.

In contrast to quantitative data, which is numerical and lends itself to statistical analysis, qualitative data focuses more on the richness of information and the context in which it is gathered. This distinction highlights the primary strength of qualitative data, as it allows researchers to explore underlying motivations and meanings that may not be immediately apparent through numerical analysis alone. Additionally, while qualitative data can certainly be categorized in certain studies, its key distinguishing feature is the focus on description and exploration rather than precise measurement.