Explore the qualitative and quantitative toolkits through illustrative examples, searchable resources and executable tools. Proposed development extends their application and evaluation.
Toolkit
Six toolkit items, three qualitative and three quantitative, each packaged for researcher use and further development
Qualitative toolkit
Three AI toolkits built through engine-supported research into qualitative methods and implementations. Each repository packages methodological guidance, agent instructions, and supporting software. Proposed work extends empirical application and functionality while retaining researchers’ responsibility for interpretation.
Grounded Theory
A reusable AI toolkit for research using grounded-theory techniques.
Gioia Methodology
A reusable AI toolkit for Gioia-style qualitative analysis.
Eisenhardt Case Methodology
An AI-assisted toolkit for Eisenhardt case-method research preparation.
Quantitative toolkit
Three quantitative toolkit components: a reusable AI workflow for assembling, cleaning, and verifying large textual collections; a measurement-design toolkit for combining machine learning (ML), natural language processing (NLP), and LLMs; and an LLM-annotation workflow prototype. Proposed work extends source coverage and evaluates measurement validity and annotation accuracy before broader application.
Large-scale data acquisition
A reusable AI workflow for assembling, cleaning, and verifying large textual collections.
Combining ML, NLP and LLMs
A measurement-design toolkit with a searchable methods catalogue, structured specifications, and a database interface.
LLM-annotation workflow
A reusable LLM-annotation workflow prototype with executable tools for versioned requests, quotation checks and source-linked features.