What distinguishes qualitative data from quantitative data in PRPA reports?

Qualitative data is characterized by its ability to provide descriptive insights, allowing for a deeper understanding of complex phenomena that cannot be easily measured with numbers. This type of data often includes non-numerical information such as opinions, feelings, motivations, and experiences, making it particularly useful for exploring the context, nuances, and overall meaning behind specific issues or trends.

In the context of PRPA reports, qualitative data can help illuminate the underlying reasons behind certain behaviors or outcomes, enabling researchers and analysts to interpret findings in a more holistic manner. This form of data is often collected through methods such as interviews, open-ended surveys, or focus groups, where participants can express themselves freely and frankly.

The other options mischaracterize the relationship between qualitative and quantitative data. For instance, quantitative data is inherently focused on measurable values, providing statistical insights that can be counted or categorized. Descriptive insights, which are central to qualitative analysis, go beyond mere numbers. Therefore, the distinction between qualitative and quantitative data lies in the nature of the insights they provide: qualitative data enhances understanding through description, while quantitative data contributes through numerical analysis.