Exploring the association between character strengths and moral functioning

IF 1.8 3区 哲学 Q2 ETHICS
Hyemin Han, Kelsie J. Dawson, D. Walker, Nghir Nguyen, Youn-Jeng Choi
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引用次数: 7

Abstract

ABSTRACT 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.
探索性格力量和道德功能之间的联系
摘要本研究探讨了由VIA量表修订而来的GACS量表所测量的24种人格优势与包括后传统道德推理、共情特征和道德认同在内的道德功能之间的关系。采用贝叶斯平均模型(BMA)对24个候选人格力量预测因子进行道德功能指标预测,结果表明该模型比频率回归估计的完全回归模型更为简洁。我们的研究数据集来自美国南部一所公立大学的666名大学生。结果表明,GACS测量的性格优势部分预测了相关道德功能指标。性能评估结果表明,BMA识别的最佳模型在AIC、BIC和交叉验证精度方面明显优于频率回归估计的完整模型。我们讨论了这些发现对未来研究人格力量和道德功能的理论和方法意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ethics & Behavior
Ethics & Behavior Multiple-
CiteScore
4.40
自引率
0.00%
发文量
38
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