Journal of Moral Education 47 (4):519-537 (2018)

Hyemin Han
University of Alabama
ABSTRACTIn this article, we discuss the benefits of Bayesian statistics and how to utilize them in studies of moral education. To demonstrate concrete examples of the applications of Bayesian statistics to studies of moral education, we reanalyzed two data sets previously collected: one small data set collected from a moral educational intervention experiment, and one big data set from a large-scale Defining Issues Test-2 survey. The results suggest that Bayesian analysis of data sets collected from moral educational studies can provide additional useful statistical information, particularly that associated with the strength of evidence supporting alternative hypotheses, which has not been provided by the classical frequentist approach focusing on P-values. Finally, we introduce several practical guidelines pertaining to how to utilize Bayesian statistics, including the utilization of newly developed free statistical software, Jeffrey’s Amazing Statistics Program, and thresholding based on Bayes Factors, to scholars in the field of moral education.
Keywords Bayesian statistics  Bayes Factor  P-values  Statistical analysis  JASP
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DOI 10.1080/03057240.2018.1463204
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References found in this work BETA

Theory of Probability.Ernest Nagel - 1940 - Journal of Philosophy 37 (19):524-528.

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Cerebellum and Emotion in Morality.Hyemin Han - forthcoming - In Michael Adamaszek, Mario Manto & Denis Schutter (eds.), Cerebellum and Emotion.

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