How does qualitative data differ from quantitative data?

Qualitative data is fundamentally different from quantitative data in that it is descriptive and categorical. It encompasses characteristics, attributes, and subjective information that can be observed but not necessarily measured numerically. This type of data often involves concepts, themes, or opinions, which helps to provide insights into patterns, behaviors, and motivations behind certain phenomena.

In contrast, quantitative data is numerical and can be measured or counted. This data allows for statistical analysis and mathematical computations, making it possible to quantify variables and test hypotheses. For instance, qualitative data might capture user sentiments regarding a product, while quantitative data would measure how many users are satisfied based on a specific scale or percentage.

Recognizing that qualitative data is more about understanding the context and depth of information, while quantitative data seeks to quantify it, clarifies their distinct roles in data analysis. This distinction underlies the effective application of both data types in research and is essential for comprehensive data interpretation.