What distinguishes qualitative data from quantitative data?

Qualitative data is characterized by its focus on describing the qualities or characteristics of a phenomenon, rather than measuring it in numerical terms. This type of data often involves observations that provide insights into the underlying reasons, opinions, or motivations of individuals. For example, qualitative data can include non-numerical information such as patient experiences, interview responses, and descriptive accounts that help to illustrate a scenario in rich detail.

In contrast, quantitative data is concerned with numbers and measurable factors, allowing for statistical analysis and comparison. It deals with quantities that can be counted or expressed in numerical form, such as the number of patients that visited a facility or the average length of hospital stays.

The correct choice highlights the fundamental difference between qualitative and quantitative data, explaining that qualitative data describes attributes and characteristics while quantitative data relies on numerical values and statistical methods. Understanding this distinction is crucial for health information management, where both types of data play important roles in research, analysis, and decision-making.