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from Part IV - Bayesian Implications for Research Design
Published online by Cambridge University Press: 28 July 2022
This chapter explicates the Bayesian foundations of iterative research, where scholars move back and forth between theory revision, data collection, and data analysis. In this style of research, attention to likelihood ratios guards against common forms of confirmation bias, while Occam factors help to control ad hoc hypothesizing.
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