How do qualitative and quantitative data differ?

Qualitative data is characterized by its descriptive nature, focusing on the qualities or characteristics of a subject. It provides insights into behaviors, experiences, and contexts, often gathered through interviews, open-ended surveys, or observations. This type of data does not rely on numbers but rather seeks to understand the underlying reasons and motivations behind certain phenomena, making it valuable for exploring complex issues in depth.

On the other hand, quantitative data is numerical and can be measured and analyzed statistically. This kind of data is often collected through structured methods such as experiments, surveys with closed-ended questions, or census data. It allows researchers to quantify behaviors, outcomes, or trends and make comparisons between groups or variables.

The clear distinction in their nature—where qualitative data focuses on descriptions and meanings while quantitative data emphasizes numerical measurement—underlines why the chosen answer accurately captures the fundamental difference between these two types of data.