This article reports on the development of the Facial Emotion Recognition and Empathy Test (FERET) as a reliable and valid tool for assessing facial emotion recognition and empathy skills in primary school-aged children. Pictures of human faces developed by the researcher were used as response options for the children. The range of response options and their associated scores were constructed based on the Two Factorial Consensual Mood Structure, which indicates dimensions of emotions. Four hundred and twenty-two primary school children participated in the research. The children were asked to recognise emotions and display the appropriate empathetic response. Data were analysed through item analysis, exploratory factor analysis (EFA) and Item Response Theory (IRT). As a result of item analysis, FERET has been designed to include 6 items related to facial expressions of key emotions and has been found to have an internal consistency coefficient of .82 and be unidimensional. Results from the IRT indicated that all the items in FERET discriminate better responders from poor responders. It was concluded that FERET can produce reliable and valid results in measuring facial emotion recognition and empathy skills among primary school children.

中文翻译：

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小学生面部情绪识别和移情测试（FERET）的开发

本文报道了面部情绪识别和移情测试 (FERET) 作为评估小学学龄儿童面部情绪识别和移情技能的可靠和有效工具的发展。研究人员开发的人脸图片被用作儿童的反应选项。响应选项的范围及其相关分数是基于表示情绪维度的两因素共识情绪结构构建的。422名小学生参加了研究。孩子们被要求识别情绪并表现出适当的移情反应。通过项目分析、探索性因素分析（EFA）和项目反应理论（IRT）对数据进行分析。作为项目分析的结果，FERET 被设计为包括 6 个与关键情绪的面部表情相关的项目，并且被发现具有 0.82 的内部一致性系数并且是一维的。IRT 的结果表明，FERET 中的所有项目都区分了较好的反应者和较差的反应者。得出的结论是，FERET 可以在测量小学生的面部情绪识别和移情技能方面产生可靠和有效的结果。