Hearing discordant voices: some notes on using Bayes's theorem in interpretive inquiry

Area of Science:

• Social Sciences
• Qualitative Research Methods

Background:

• Qualitative analysis often lacks structured frameworks for concept development and evidence evaluation.
• Bayes's theorem is traditionally applied in statistical and probabilistic reasoning.

Purpose of the Study:

• To explore the conceptual and pedagogical utility of Bayes's theorem in qualitative analysis.
• To propose Bayes's theorem as a tool for developing sensitizing concepts.
• To position Bayes's theorem as a heuristic for examining qualitative evidence.

Main Methods:

• Conceptual analysis of Bayes's theorem's principles.
• Application of Bayesian concepts to qualitative research processes.
• Discussion of heuristic and pedagogical implications.

Main Results:

• Bayes's theorem provides a framework for iterative concept refinement in qualitative research.
• It offers a structured approach to evaluating the confirming nature of qualitative evidence.
• The theorem can serve as a pedagogical tool to deepen understanding of qualitative inquiry.

Conclusions:

• Bayes's theorem presents a novel and applicable approach to enhance qualitative analysis.
• Its application can strengthen the rigor and transparency of qualitative research.
• Further exploration of Bayesian methods in qualitative research is warranted.