Which type of data represents subjective attitudes and opinions?

Qualitative data is essential as it captures the subjective attitudes, opinions, and experiences that individuals have. This type of data often comes from interviews, open-ended survey questions, or focus groups, where respondents can express their thoughts and feelings in their own words. It is invaluable in research, particularly in fields such as social sciences and healthcare, where understanding human experiences and perspectives is critical for developing effective solutions and interventions.

In contrast, quantitative data focuses on numerical values and measurable variables, which can provide clearer, statistical insights but do not capture the essence of human feelings or subjective experiences in the same way. Meanwhile, empirical data refers to information that is based on observation or experimentation but can encompass both qualitative and quantitative data types. Lastly, statistical data is a subset of quantitative data that summarizes and analyzes numerical information, further emphasizing a more objective viewpoint rather than the subjective nature found in qualitative data.