What is the primary aim of qualitative data analysis?

The primary aim of qualitative data analysis is to identify patterns and themes from non-numerical data. This approach is fundamental in qualitative research, which focuses on understanding the meaning, experiences, and perceptions of individuals rather than quantifying data. By analyzing interviews, focus groups, or open-ended survey responses, researchers can extract rich insights and develop a deeper understanding of the subject matter.

Unlike quantitative analysis, which relies on numerical data to draw statistical conclusions, qualitative data analysis seeks to understand the complexities of human behavior and social phenomena. This method enables researchers to categorize data into themes or patterns, revealing insights that numbers alone cannot convey. Such analysis is crucial for generating hypotheses, informing future research, and providing context to numerical findings.