Which step involves extracting key terms and concepts from qualitative data?

Which step involves extracting key terms and concepts from qualitative data?

• A. Assess quality
• B. Extract key terms
• C. Integrate with other evidence
• D. Apply and reflect

Answer: (B)

Qualitative data analysis centers on turning raw text into organized ideas through coding. The step of extracting key terms and concepts is exactly about reading transcripts or notes and pulling out words, phrases, and ideas that recur or seem meaningful. Those terms are then labeled as codes and grouped to reveal patterns and themes. This data-driven extraction is what lets you move from rich, unstructured data to a structured synthesis you can compare across studies or apply in practice. This is the best fit because it directly describes capturing the essential ideas from the data. In contrast, assessing quality focuses on how trustworthy the studies are, integrating with other evidence refers to bringing findings together across studies, and applying and reflecting involves translating insights into practice and evaluation.

Qualitative data analysis centers on turning raw text into organized ideas through coding. The step of extracting key terms and concepts is exactly about reading transcripts or notes and pulling out words, phrases, and ideas that recur or seem meaningful. Those terms are then labeled as codes and grouped to reveal patterns and themes. This data-driven extraction is what lets you move from rich, unstructured data to a structured synthesis you can compare across studies or apply in practice.

This is the best fit because it directly describes capturing the essential ideas from the data. In contrast, assessing quality focuses on how trustworthy the studies are, integrating with other evidence refers to bringing findings together across studies, and applying and reflecting involves translating insights into practice and evaluation.