感知压力与全社会道德判断。

IF 2.6 Q1 PSYCHOLOGY, CLINICAL
Yi Chen, Junfei Lu, David I Walker, Wenchao Ma, Andrea L Glenn, Hyemin Han
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引用次数: 0

摘要

本研究通过整合两个有影响力的框架:新科尔伯格方法和CNI功利-义务论决策模型,探讨了感知压力与全社会道德判断之间的关系。新科尔伯格的道德判断方法提出了三种道德图式:(1)个人利益(PI),其中决策以自我为中心;(2)维持规范(MN),强调遵守社会规则和规范;(3)后传统(PC),普遍的伦理原则优先。功利-义务判断的CNI模型包含三个心理过程:结果敏感性、规范敏感性和不作为偏好。本研究采用行为定义问题测试(behavioral Defining Issues Test, DIT)对感知压力、新科尔伯格道德判断和功利道义决策(utilitierdeontology decision, CNI)的心理过程进行了调查研究。结果表明,较高的感知压力与较高的PI模式认同、较低的规范敏感性和较高的结果敏感性有关。此外,PI模式在感知压力与规范敏感性之间起中介作用。这些发现提供了关于压力如何影响道德推理和决策的见解,对心理学和伦理学研究具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceived Stress and Society-Wide Moral Judgment.

This study examines the relationship between perceived stress and society-wide moral judgment by integrating two influential frameworks: the neo-Kohlbergian approach and the CNI model of utilitarian-deontological decision-making. The neo-Kohlbergian approach to moral judgment proposes three moral schemas: (1) Personal Interest (PI), where decisions are self-focused; (2) Maintaining Norms (MN), which emphasizes adherence to social rules and norms; and (3) Postconventional (PC), where universal ethical principles are prioritized. The CNI model for Utilitarian-Deontological judgment features three psychological processes in decision-making: Sensitivity to Consequence, Sensitivity to Norm, and Inaction Preference. A survey study was conducted to measure perceived stress, neo-Kohlbergian moral judgment (using the behavioral Defining Issues Test [DIT]), and the psychological processes underlying utilitarian-deontological decision-making (CNI). The results indicate that higher perceived stress is linked to greater PI schema endorsement, reduced Norm Sensitivity, and increased Consequence Sensitivity. Furthermore, the PI schema mediated the relationship between perceived stress and Norm Sensitivity. These findings provide insights into how stress shapes moral reasoning and decision-making, with implications for psychological and ethical studies.

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来源期刊
CiteScore
4.40
自引率
12.50%
发文量
111
审稿时长
8 weeks
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