From an interpretivist standpoint, which type of data is emphasized?

• A. Quantitative data
• B. Rich qualitative data
• C. Experimental measurements
• D. Secondary data

Answer: (B)

Interpretivism aims to understand how people interpret their experiences and the world around them, so the data that best serves this aim are rich qualitative sources that provide depth, nuance, and context. In-depth interviews, open-ended responses, detailed observations, and narrative accounts let participants express meanings, beliefs, and social processes in their own words, revealing how they construct reality in specific settings.

Quantitative data, by contrast, emphasize numbers and patterns across larger groups, which can overlook individual meanings and situational factors. Experimental measurements focus on manipulating variables and observing effects under controlled conditions, prioritizing control and generalizability over the rich, context-bound understanding central to interpretivism. Secondary data are useful, but they may lack the firsthand contextual detail and interpretive depth that primary qualitative data offer.

So, rich qualitative data best align with interpretivist aims by capturing the depth of meaning in social life.