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intermediate

An Examination of the Use of Large Language Models to Aid Analysis of Textual Data

Tai, Robert H. et al. (2024)

Published
Jan 1, 2024
Journal
International Journal of Qualitative Methods · Vol. 23
DOI
10.1177/16094069241231168

At a GlanceAI

LLMs can support reliable deductive coding of qualitative text when guided by a predefined codebook.

SummaryAI

The study tests whether an LLM can assist qualitative researchers with a core but labor-intensive task: applying predefined codes to interview text. Using three interview excerpts, a codebook, and 160 repeated LLM analyses, the authors compare model outputs with traditional human coding evaluations. They argue that LLMs can provide systematic code identification and evidence for coding decisions, potentially reducing misalignment in qualitative analysis, while emphasizing current limitations and research-practice implications.

Method SnapshotAI

The authors repeatedly prompt an LLM to apply a predefined qualitative codebook to interview excerpts and compare its coding with human evaluations.

BackgroundAI

Basic qualitative research methods, especially deductive coding and codebooks, plus a general understanding of LLMs.

An importance of a codebook used together with LLMs in qualitative analysis

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