What is the difference between qualitative and quantitative data?

Qualitative data and quantitative data serve different purposes in research and analysis. Qualitative data refers to non-numerical information that is descriptive in nature, capturing attributes, characteristics, and insights that cannot easily be quantified. This type of data is used to understand concepts, thoughts, or experiences, often gathered through interviews, open-ended surveys, or observations.

On the other hand, quantitative data is numerical and measurable, allowing for statistical analysis to examine relationships, differences, and trends within the data. This type of data provides metrics that can be counted or expressed in terms of numbers, making it suitable for analysis that requires mathematical calculations.

The correct answer highlights that qualitative data is inherently descriptive, focusing on qualities and characteristics, while quantitative data relies on numerical values for its analysis. This distinction is critical in choosing the appropriate method for data collection and analysis based on the goals of a research study.