What is the primary difference between qualitative and quantitative data?

The primary difference between qualitative and quantitative data lies in their inherent characteristics and how they are utilized in research and analysis. Qualitative data is inherently descriptive and subjective, which means it often captures qualities, characteristics, or experiences that are not easily quantifiable. This type of data is typically gathered through methods such as interviews, open-ended surveys, or observations, and it provides depth and insight into the subject matter.

On the other hand, quantitative data is numerical and measurable, which allows for statistical analysis and mathematical computations. It can be collected through structured methods like surveys with closed-ended questions, experiments, and other techniques that yield numerical results. This data type is essential for identifying patterns, relationships, and statistical significance.

In the context of the provided options, the correct choice highlights these fundamental distinctions by accurately stating that qualitative data is descriptive and subjective, while quantitative data is numerical and measurable.