A Novel Method to Use Coordinate Based Meta-Analysis to Determine a Prior Distribution for Voxelwise Bayesian Second-Level fMRI Analysis

Han, Hyemin

doi:10.3390/math10030356

Cited by 5 publications

(2 citation statements)

References 56 publications

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“…Third, potential employment of informed prior distributions could also be considered in follow-up studies. In fact, previous studies have shown that proper use of informed priors can improve model performance (Han, 2021c;2022). Future studies may employ informed priors based on results from the present study.…”

Section: Limitationsmentioning

confidence: 72%

Exploring the association between character strengths and moral functioning

et al. 2022

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We explored the relationship between 24 character strengths measured by the Global Assessment of Character Strengths (GACS), which was revised from the original VIA instrument, and moral functioning comprising postconventional moral reasoning, empathic traits and moral identity. Bayesian Model Averaging (BMA) was employed to explore the best models, which were more parsimonious than full regression models estimated through frequentist regression, predicting moral functioning indicators with the 24 candidate character strength predictors. Our exploration was conducted with a dataset collected from 666 college students at a public university in the Southern United States. Results showed that character strengths as measured by GACS partially predicted relevant moral functioning indicators.Performance evaluation results demonstrated that the best models identified by BMA performed significantly better than the full models estimated by frequentist regression in terms of AIC, BIC, and cross-validation accuracy. We discuss theoretical and methodological implications of the findings for future studies addressing character strengths and moral functioning.

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Section: Limitationsmentioning

confidence: 72%

Exploring the association between character strengths and moral functioning

et al. 2022

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“…In fact, when Bayesian inference is conducted, the outcome is sensitive to prior beliefs (Sinharay and Stern 2002). Also, use of appropriate priors in Bayesian inference is a way to minimize a potential bias (Han 2022). Such a point suggests that setting up prior beliefs is very important to produce desirable outcomes at the end of the Bayesian learning process.…”

Section: Implications Of Learning Mechanism Based On Bayes Rule On Vi...mentioning

confidence: 99%

Considering the Purposes of Moral Education with Evidence in Neuroscience: Emphasis on Habituation of Virtues and Cultivation of Phronesis

Han

2023

Ethic Theory Moral Prac

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In this paper, findings from research in neuroscience of morality will be overviewed to consider the purposes of moral education. Particularly, I will focus on two main themes in neuroscience, novel neuroimaging and experimental investigations, and Bayesian learning mechanism. First, I will examine how neuroimaging and experimental studies contributed to our understanding of psychological mechanisms associated with moral functioning while addressing methodological concerns. Second, Bayesian learning mechanism will be introduced to acquire insights about how moral learning occurs in human brains. Based on the overviewed neuroscientific research on morality, I will examine how evidence can support the model of moral education proposed by virtue ethics, Neo-Aristotelian moral philosophy in particular.Particularly, two main aims of virtue ethics-based moral education, habituation of virtues and cultivation of phronesis, will be discussed as the important purposes of moral education based on neuroscientific evidence.

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