What type of qualitative data might involve open-ended questions?

Open-ended questions are designed to elicit detailed responses that allow participants to express their thoughts, feelings, and experiences in their own words. This type of qualitative data is characterized by its depth and richness, often leading to narratives that provide insights into the subjects' perspectives.

Narrative data fits this description perfectly, as it encompasses the stories and personal accounts gathered from respondents. Such data allows researchers to analyze themes, patterns, and individual experiences more thoroughly than closed-ended questions would, which typically limit responses to predefined options. This qualitative approach is vital in fields like social research, where understanding the complexity of human behavior and social phenomena is essential.

Other options like statistical data and numeric data generally rely on quantifiable measurements, which do not allow for the depth of understanding that open-ended questions facilitate. Descriptive data may also include some qualitative insights, but it does not specifically focus on the in-depth personal accounts that narrative data captures. Thus, narrative data is the most appropriate answer, given its reliance on open-ended questions to collect rich, qualitative information.