“Conversing” With Qualitative Data: Enhancing Qualitative Research Through Large Language Models (LLMs)

Large Language Models (LLMs) are revolutionizing how qualitative researchers can work with textual data. Rather than relying only on codebooks or manual line-by-line analysis, scholars can “converse” with their materials by asking targeted questions, probing for contextual insights, and refining theoretical connections. This dialogue-like process speeds up traditional tasks—transcription, coding, theme identification—while sparking broader possibilities for exploration. Researchers prompt the LLM to surface recurring patterns, detect subtle shifts in tone, or suggest new interpretive angles. These capabilities neither diminish the centrality of human expertise nor replace the analytical depth that defines…

• IS
  Israel Science Foundation

  Award: #1836/22