Department of Medical Psychology, Psychological Diagnostics and Research Methodology, University of Regensburg, Regensburg, Germany.
Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany.
PLoS One. 2019 Apr 1;14(4):e0214747. doi: 10.1371/journal.pone.0214747. eCollection 2019.
In everyday life, we are often confronted with morally conflicting social interaction situations. Therefore, the main objective of the present set of studies was the development and validation of a new measure to assess decision-making in everyday moral conflict situations. All vignettes required a decision between an altruistic versus an egoistic behavioral response alternative. In three independent surveys (N = 200), we developed a 40-items measure with preferable mean rates of altruistic decisions (Study 1), clear representation of altruistic and egoistic response classes (Study 2), unambiguousness of social closeness classifications (socially close vs. socially distant protagonists; Studies 1 and 2), and high similarity to reality ratings (Studies 1 and 2). Additionally, we developed two parallelized item sets for future use in within-subjects design studies and investigated the measurement properties of our new scale (Studies 1 and 3). Results of Rasch model analyses and classical test theory fit indices showed unidimensionality and confirmed the appropriateness of the fragmentation into two parallelized item sets. Notably, in our data, there were neither effects of social closeness nor gender on the percentage of altruistic decisions. In sum, we propose the Everyday Moral Conflict Situations (EMCS) Scale as a promising new measurement tool that may facilitate further research in different research areas due to its broad applicability.
在日常生活中,我们经常会遇到道德冲突的社交互动情境。因此,本研究集的主要目标是开发和验证一种新的衡量标准,以评估日常道德冲突情境中的决策。所有情景都需要在利他与利己的行为反应之间做出选择。在三个独立的调查(N=200)中,我们开发了一个 40 项的衡量标准,具有更好的利他决策的平均率(研究 1)、清晰的利他和利己反应类别的表示(研究 2)、社会亲近程度分类的明确性(社会亲近与社会疏远的主角;研究 1 和 2),以及与现实评分的高度相似性(研究 1 和 2)。此外,我们还开发了两个并行的项目集,以备将来在被试内设计研究中使用,并研究了我们新量表的测量特性(研究 1 和 3)。Rasch 模型分析和经典测试理论拟合指数的结果表明具有单维性,并证实了将其细分为两个并行项目集的合理性。值得注意的是,在我们的数据中,社会亲近程度和性别都不会对利他决策的百分比产生影响。总之,我们提出了日常道德冲突情境(EMCS)量表,这是一种很有前途的新测量工具,由于其广泛的适用性,可能会促进不同研究领域的进一步研究。