Which type of data is described as informative in the form of descriptions, comments, and stories?

Qualitative data is characterized by its focus on descriptive elements, capturing the nuances of human experiences, emotions, and social phenomena through comments, narratives, and stories. This type of data is often used in research to provide insights into motivations, beliefs, and personal experiences, allowing for a deeper understanding of a subject beyond mere numbers.

Qualitative data is instrumental when exploring complex issues where numerical measures may not capture the full context. For example, in educational research, qualitative data might include interviews with students or observations of classroom interactions, offering richer insights into the educational environment and its impact on learning.

In contrast, quantitative data, numeric data, and statistical data primarily involve measurement and analysis using numerical representation. These types of data focus on quantities, frequencies, and statistical analysis, which cannot convey the same depth of narrative content as qualitative data. Thus, qualitative data stands out for its ability to offer a more rounded view of the phenomena being studied.