Home / Research Articles Hub / Inductive/Deductive Hybrid Thematic Analysis in Mi...
🤖 Artificial Intelligence OpenAlex

Inductive/Deductive Hybrid Thematic Analysis in Mixed Methods Research

📅 Published: September 20, 2022 👤 Kevin Proudfoot 📖 Journal of Mixed Methods Research 📊 785 citations
AI-Generated Summary

Inductive/deductive hybrid thematic analysis offers significant opportunities for researchers, but its application within integrative mixed methods research has yet to be fully explored. Here, the critical realist concepts of abduction and retroduction are crucial, both in terms of facilitating the convergence of methods and in the generation of new theory.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Firstly, this article contributes by demonstrating the compatibility of inductive/deductive hybrid thematic analysis with quantitative work in a mixed methods approach to research.
  • 2 Secondly, the article then innovates by highlighting the value of this approach within a critical realist meta-theoretical perspective.
  • 3 Here, the critical realist concepts of abduction and retroduction are crucial, both in terms of facilitating the convergence of methods and in the generation of new theory.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

Read Full Paper at OpenAlex
More Artificial Intelligence Papers ← Back to Hub 📚 Learning Hub