What is one major weakness of qualitative data?

Qualitative data is inherently subjective, meaning that the interpretation and analysis of this type of data can heavily depend on the researcher's perspective and experiences. This subjectivity can lead to biases, where the researcher's preconceptions and expectations may influence how they collect, interpret, and present the information. Unlike quantitative data, which relies on numerical values and statistical methods, qualitative data encompasses rich, descriptive information that captures complex human behaviors and emotions but also raises concerns about the consistency and reliability of findings due to potential biases introduced by the researcher.

In contrast, extensive statistical comparisons are characteristic of quantitative data, not qualitative data. Qualitative research does not limit itself to numerical data; instead, it provides insights through words and meanings. Additionally, while qualitative data often is collected in natural settings, this is not inherently a weakness, but rather a strength that allows for a deeper understanding of context and experiences.