How can qualitative data be interpreted?

Qualitative data can be interpreted in multiple ways based on individual opinions because it is inherently subjective. This type of data encompasses non-numerical information, such as thoughts, feelings, and experiences, which can vary significantly between individuals. As a result, different stakeholders might draw different conclusions or insights from the same set of qualitative data, reflecting their unique perspectives, cultural backgrounds, and personal experiences. This flexibility in interpretation is a key characteristic of qualitative data, allowing for rich, nuanced understanding but also requiring careful consideration to avoid biases.

In contrast, other methods such as applying statistical methods, using objective measures, or relying on standardized evaluations are typically associated with quantitative data, which seeks to produce consistent and comparable results across different contexts. This is not applicable to qualitative interpretations, which thrive on the diversity of human experience and perspective.