基于中国人面孔情绪识别测验的编制及其信效度检验

来源 :中华精神科杂志 | 被引量 : 0次 | 上传用户:lijinjie1981
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目的:编制本土化的面孔情绪识别测验并检验其信效度。方法:从中国人面孔表情强度分级图片库中选取7种情绪类型,每种各16张,共112张图片形成初版测验,招募83名健康被试者(对照组)完成该测验。根据项目分析的结果筛选出42张面孔图片形成正式测验,对照组于4周后完成正式测验,以确定测验的重测信度。同时分析测验的内部一致性信度及分半信度。采用多伦多述情障碍量表(Toronto Alexithymia Scale, TAS-20)和认知功能成套测验—共识版(MATRICS Consensus Cognitive Battery,MCCB)作为效标关联效度参考。另招募162例精神分裂症患者(患者组)完成正式测验,以检验该测验的区分效度。结果:面孔情绪识别正式测验包括高兴、愤怒、悲伤、厌恶、惊奇、恐惧和平静7种情绪,每种情绪6张,共42张图片。该测验总平均难度为0.76,总平均区分度为0.30,内部一致性信度为0.77,分半信度为0.72,总的重测信度为0.81。对照组对厌恶情绪类型的判断得分与工作记忆及MCCB总分之间存在正相关(n r=0.572,n P<0.01;n r=0.426,n P=0.028)。对照组面孔情绪类别识别总分与工作记忆及MCCB总分之间也存在正相关(n r=0.431,n P=0.022; n r=0.432, n P=0.024)。除平静情绪外,患者组对其他情绪类型的判断得分均显著低于对照组(效应值0.27~0.72,均n P<0.05)。患者组对厌恶、恐惧和悲伤情绪强度的判断程度均显著低于对照组(效应值0.33~0.47,均n P<0.05)。n 结论:所编制的基于中国人面孔的情绪识别测验具有较好的信度和效度,可作为精神分裂症患者面孔情绪类型和情绪强度识别能力的标准化评估工具。“,”Objective:This study developed a localized facial emotion recognition test and tested its reliability and validity.Methods:Seven types of emotion were selected from the Chinese facial expression intensity grading picture library, each of which had 16 pictures. A total of 112 pictures formed the first edition of the test. Eighty-three normal controls were recruited to complete the test. Based on the results of the item analysis, 42 pictures were screened to form the final version of the test. After an interval of 4 weeks, 83 normal subjects were retested with the final version to determine the test-retest reliability. The Toronto Alexithymia Scale (TAS-20) and the MATRICS (measurement and treatment research to improve cognition in schizophrenia, which is an NIMH launched research program in 2003) Consensus Cognitive Battery (MCCB) were used as criterion-related validity reference. At the same time, the internal consistency reliability and the split-half reliability were analyzed. Additionally, 162 patients with schizophrenia were recruited to complete the final version of the test to test the discriminant validity.Results:(1) The formal Chinese facial Emotion Recognition Test consisted of seven types of emotion including happiness, anger, sadness, disgust, surprise, fear, and calm, each of which had 6 pictures, and a total of 42 pictures formed the final version of the test. The total average difficulty of the test was 0.76, and the total average differentiation was 0.30. (2) The internal consistency and split-half coefficients were 0.77 and 0.72, respectively. The test-retest reliability was 0.81. (3) There was a significant positive correlation between the judgment score of disgust emotion and working memory score and MCCB total score in normal controls (n r=0.572, n P<0.01;n r=0.426, n P=0.028, respectively). Also beside, the total judgment score of all facial emotion categories was positively correlated with the working memory score and the MCCB total score (n r=0.431, n P=0.022; n r=0.432, n P=0.024, respectively). (4) The recognition scores of other emotion categories in schizophrenics were significantly lower than those in normal controls (all n P<0.05; the effect value ranged from 0.27 to 0.72), except for calm emotion. The judgment scores of the intensity of aversion, fear, and sadness in schizophrenics were significantly lower than those in normal controls (alln P<0.05, the effect value ranged from 0.33 to 0.47).n Conclusion:The emotion recognition test based on Chinese face developed in this study has good reliability and validity and can be used as a standardized evaluation tool for the recognition ability of facial emotion category and facial emotion intensity in patients with schizophrenia.
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