What is the difference between qualitative and quantitative data?

The distinction between qualitative and quantitative data is essential in research and analysis. Qualitative data refers to descriptive characteristics that capture qualities and attributes, often encompassing non-numerical information such as opinions, experiences, and feelings. This type of data is typically gathered through methods such as interviews, focus groups, or open-ended survey questions that allow for richer, in-depth responses.

On the other hand, quantitative data consists of numerical values that can be measured and analyzed statistically. This data is often collected through structured methods such as closed-ended surveys, experiments, and observational studies, where results can be quantified and subjected to statistical analysis.

The correct answer emphasizes the nature of qualitative data as being descriptive, contrasting it with quantitative data, which is numerical. Understanding this distinction is vital in choosing the appropriate method for data collection and analysis based on the research objectives.