Data Evaluation and Validation

Diana Garcia Quevedo () and Josue Kuri ()
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Diana Garcia Quevedo: ESCP Business School, Center of Research in Sustainability (RESET)
Josue Kuri: Principal Scientist

Chapter 7 in AI for Qualitative Research, 2026, pp 81-101 from Springer

Abstract: Abstract This chapter provides code examples for data evaluation and validation, introducing two approaches: traditional coding and large language model-based approaches. This chapter provides a concrete example of the limitations of large language models (LLMs), particularly in terms of reliability for numerical tasks. Researchers are advised to critically evaluate LLM outputs and consider traditional programming techniques for tasks that require numerical accuracy.

Keywords: Qualitative analysis; Data exploration; Large language models (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-08872-7_7

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DOI: 10.1007/978-3-032-08872-7_7

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