Chinese facial emotion recognition test: reliability and validity
10.3760/cma.j.cn113661-20200228-00065
- VernacularTitle:基于中国人面孔情绪识别测验的编制及其信效度检验
- Author:
Yanli ZHAO
1
;
Hongzhen FAN
1
;
Yuanyuan ZHANG
1
;
Wei QU
1
;
Dong LI
1
;
Yajun LI
1
;
Shuping TAN
1
Author Information
1. 北京回龙观医院精神医学研究中心 北京大学回龙观临床医学院 100096
- Publication Type:Journal Article
- Keywords:
Schizophrenia;
Facial emotion recognition;
Questionnaire development;
Reliability and validity
- From:
Chinese Journal of Psychiatry
2020;53(6):512-519
- CountryChina
- Language:Chinese
-
Abstract:
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 ( r=0.572, P<0.01; r=0.426, 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 ( r=0.431, P=0.022; r=0.432, P=0.024, respectively). (4) The recognition scores of other emotion categories in schizophrenics were significantly lower than those in normal controls (all 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 (all P<0.05, the effect value ranged from 0.33 to 0.47). 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.
