Which of the following best describes the analysis of qualitative data?

The analysis of qualitative data primarily focuses on identifying patterns and themes within the data rather than relying on numerical methods or calculations. Qualitative data often consists of non-numeric information, such as text, interviews, observations, or open-ended survey responses. By examining this type of data, researchers aim to gain insight into the underlying meanings, experiences, or phenomena being studied.

Identifying patterns and themes involves a systematic approach to organizing and interpreting the data, allowing researchers to draw conclusions based on the prevailing trends and recurrent ideas found within the information. This approach facilitates a deeper understanding of the subject matter and contributes to the generation of theories or conceptual frameworks.

In contrast, other options involve methodologies more suited for quantitative analysis. Statistical calculations and creating numerical models are fundamentally rooted in quantifiable data rather than qualitative narratives. Comparative analysis, while it can be used in qualitative research, generally implies a structured comparison of predefined variables or groups, which may not reflect the complexity and richness of qualitative insights as thoroughly as thematic analysis does.