Hearing discordant voices: some notes on using Bayes's theorem in interpretive inquiry.
The focus of these brief comments is to argue that Bayes's theorem may have conceptual and pedagogical applications for qualitative analysis. We suggest that the theorem is a salient alternative voice for the development of sensitizing concepts. It is also proposed that the theorem is a useful heuristic for raising deep-structure issues such as the nature of qualitative evidence and how such evidence becomes confirming for a given claim.
Miller
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Fredericks
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D001499:Bayes Theorem; D003627:Data Interpretation, Statistical; D006302:Health Services Research / Q000379:methods*; D006801:Humans; D012107:Research Design