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Class-based differences in moral judgment: A bayesian approach

  • Andreas Tutić

摘要

This study employs Bayesian inference to explore class-based differences in moral judgment. Based on the dual-process perspective in interdisciplinary action theory, we estimate in a first step a process model which differentiates parametrically between emotionally driven deontological, deliberatively driven utilitarian, and residual judgmental inclinations. In a second step, our estimates of these parameters are correlated via beta regressions with indicators of social class and thinking dispositions. We find a considerable association between social class, specifically income, and deontological inclinations, whereas consequentialist inclinations correlate with thinking dispositions but not with social class. This research underscores the utility of Bayesian estimation in closing the gap between theoretical and statistical modelling. Employing this approach enhances our understanding of the nuanced interplay between intuitive and deliberative processes in moral judgment and, more generally, offers a promising direction for advancing sociological action theory.