Measurement of Individual Differences in State Empathy and Examination of a Model in Japanese University Students

Psych Pub Date : 2023-09-04 DOI:10.3390/psych5030061
Maine Tobari, Atsushi Oshio
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Abstract

The typical state empathy research used perspective-taking instructions and examined the effect of instructions on empathy-related variables. Empathy-arousing processes were generally not measured. The effect of perspective-taking instructions has been questioned recently. Observers could imagine targets’ feelings without such instructions. This study evoked empathy in Japanese undergraduates (N = 157) without instructional procedure, and based on participants’ responses to questionnaires, measured individual differences between antecedent, process, and intrapersonal outcome variables of state empathy, referring to the organizational model and theories of empathy-arousing processes. The purpose of this study was to measure these variables, examine the causal relationship between them using path analysis, and clarify how empathy occurs. In this way, we could suggest through which processes and antecedent factors intrapersonal empathic outcomes are produced. It is probably the first attempt to clarify how empathy occurs using a social psychological study framework and questionnaire method. This research was originally conducted in 2011 based on two similar studies not published internationally, when only some of the variables were used in our analyses. Afterwards, we constructed another analysis method, reanalyzed the data in 2019 and further reanalyzed in 2023 to obtain the final version of the results. Limitations and scientific and practical implications were discussed.
日本大学生状态共情的个体差异测量及模型检验
典型的状态移情研究采用了视角指导,并考察了指导对移情相关变量的影响。激发同理心的过程通常没有被衡量。透视指导的效果最近受到了质疑。观察者可以想象目标在没有这种指示的情况下的感受。本研究在没有教学程序的日本本科生(N=157)中唤起了同理心,并根据参与者对问卷的回答,参考移情唤起过程的组织模型和理论,测量了状态移情的先行变量、过程变量和个人内结果变量之间的个体差异。本研究的目的是测量这些变量,使用路径分析来检验它们之间的因果关系,并阐明移情是如何发生的。通过这种方式,我们可以提出通过哪些过程和先决因素产生个人移情结果。这可能是第一次尝试使用社会心理学研究框架和问卷调查方法来阐明移情是如何发生的。这项研究最初是在2011年根据两项未在国际上发表的类似研究进行的,当时我们的分析中只使用了一些变量。之后,我们构建了另一种分析方法,对2019年的数据进行了重新分析,并在2023年进行了进一步的重新分析,以获得最终版本的结果。讨论了局限性以及科学和实际意义。
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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